ENGINEERING RESEARCH PAPERS

CBIR-Content-Based Image Retrieval IEEE PAPER 2017




CBIR system based on prediction errors
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Content-Based Image Retrieval ( CBIR ) systems are widely used for local as well as for remote applications such as telemedicine, satellite image transmission and image search engines. The existing CBIR systems suffer from the limitations of storage space, data

An Efficient Perceptual of CBIR System using MIL-SVM Classification and SURF Feature Extraction.
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Abstract: Hasty increase in use of color image in recent years has motivated to the need of retrieval system for color image. Content Based Image Retrieval ( CBIR ) system is used to retrieve similar images from large image repositories based on color, texture and shape. In

Design and Analysis of CBIR System using Hybrid PSO and K-Mean Clustering Methods
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Abstract Images have always been considered an effective medium for presenting visual data in many applications of industry and academia. With the development of technology, a large amount of images are being generated every day. Therefore, managing and indexing Abstract A Content Based Image Retrieval is proposed using two techniques in order to show a comparative analysis. The comparative analysis points out its overall performance depends on the type of techniques used to extract multiple features and similarity metrics

Integration of Color and Texture Features in CBIR System
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ABSTRACT Nowadays, rapid and effective searching for relevant images in large image databases has become an area of wide interest in many applications. The current image retrieval system is based on text-based approaches. This system has many challenges such

COMPREHENSIVE ANALYSIS OF SOME RECENT COMPETITIVE CBIR TECHNIQUES.
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Abstract In todays real life applications complexity of multimedia contents is significantly increased. This is highly demanding the development of effective retrieval systems to satisfy human desires. Recently, extensive research efforts have been carried out in the field of

Review on Content Based Image Retrieval ( CBIR ) Technique
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Abstract: In digital image processing finding or searching a image in huge database of digital images is big task for designing more efficient image and shape matching algorithm. In data storage and image acquisition technologies we have to enabled the creation of large

RESEARCH AND PERFORMANCE EVALUATION OF PROPOSED CBIR SYSTEM OF CONTENT BASED IMAGE RETRIEVAL USING COLOR, TEXTURE AND
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ABSTRACT This paper has a look for the in the lands ruled over of image processing, image mining is move-forward in the field of facts mining. image mining is the extraction of put out of the way knowledge for computers, association of image data and added good example

A REVIEW ON VARIOUS APPROACHES OF CBIR USING COLOR AND SHAPE BASED FEATURES
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ABSTRACT Content base image retrieval is the process for extraction of relevant images from the dataset images based on feature descriptors. In the process of content base image retrieval various types of retrieval approaches have been processed by users that are colour

Content - based image retrieval
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B Hadjer, R Sara, K Halima, A Oussama - bu.univ-ouargla.dz 1. Abstract Nowadays, most peoples, whatever their specialty, have a collection of images that increase over time to become a large collection. This increases the need to develop a quick and effective tool to retrieve image collections. One technique to retrieve the desired

Satellite Image Mining using Content Based Image Retrieval
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Abstract: Satellite images are used in many applications, such as disaster forecasting, geological survey etc. Satellites captures thousands of images every day, but only few are useful to us. How to retrieve useful images from the database is a very challenging area of

A Survey on Different Relevance Feedback Techniques in Content Based Image Retrieval
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Abstract-The conventional image retrieval methods like Google, Bingo, Yahoo are based on the on textual annotation of images to access the large collection of relevant database images. Then Content Based Image Retrieval (CBIR) is a technique, which takes visual

Content Based Medical Image Retrieval and Clustering Based Segmentation to Diagnose Lung Cancer
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Abstract Now a day lung cancer is most serious health problem in the world which causes multiple deaths every year. There are various techniques available for diagnosis of the lung cancer such as CT image , MRI image , X-Ray Image etc. but the CT scan image provides

Content Based Image Retrieval Using Texture Structure Histogram and Texture Features
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Abstract In Content Based Image Retrieval one of the most important features is texture. In this paper we present a image retrieval based on Texture Structure Histogram (TSH) and Gabor texture feature extraction. In TSH technique to describe the texture feature, we use the

A Survey of Content Based Image Retrieval in Cloud Computing
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Abstract: The images are used as a prime factor of communication on an effective scale. Hence the need of efficient and effective tools for retrieval of query images from database is increased significantly. CBIR is a technique for retrieving images on the basis of

Content based image classification and retrieval using visual bag of features and adaboost algorithm
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ABSTRACT This paper proposes the content based classification and retrieval of images using Visual bag of Features and adaboost classifier. The Visual bag of Features has been extracted from the input images and then the visual bag of features is classified using the

A Review on Feature Extraction Techniques in Content Based Image Retrieval
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Abstract The Content Based Image retrieval (CBIR) is a very critical for retrieving the most visible applicable images from the huge image database. The numerous low stage functions are extracted primarily based on their visual content which might be shade, shape, texture

Content - based image retrieval and semantic automatic image annotation based on the weighted average of triangular histograms using support vector machine
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Abstract In recent years, the rapid growth of multimedia content makes content - based image retrieval (CBIR) a challenging research problem. The content - based attributes of the image are associated with the position of objects and regions within the image . The addition of

A novel method for Content Based Image retrieval using Local features and SVM classifier
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Abstract-Retrieving images from the large amount of database based on their content are called content based image retrieval . It is a basic requirement of retrieve the relevant information from huge amount of image database according to query image with better

A Content Based Image Retrieval Using Soft Computing
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ABSTRACT The CBIR tends to index and retrieve images based on their visual content . CBIR avoids many problems associated with traditional ways of retrieving images by keywords. Thus, a growing interest in the area of CBIR has been established in recent years.

Content - Based Image Retrieval in Cloud Using Watermark Protocol and Searchable Encryption
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Abstract:-With the development of the imaging devices, such as digital cameras, smartphones, and medical imaging equipments, our world has been witnessing a tremendous growth in quantity, availability, and importance of images. The needs of efficient

Content - based Image Retrieval System for clinical diagnosis of Pigmented Skin Lesions
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Summary The screening process of skin cancer and the capacity of storing the digital images in recent years are rapidly increasing at an alarming rate. These digital image contains a lot of useful diagnostic information, which are not efficiently accessed and used.

CONTENT BASED IMAGE RETRIEVAL USING APPROXIMATION BY SHAPE.
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This paper presents a new content - based image retrieval algorithm. The main idea of the method is to represent objects by its shape approximation using graphs. As shapes primitives based on line segments and arches were chosen. Each graph node contains

A Scalable Approach for Content - Based Image Retrieval in Peer-to-Peer Networks
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1PG Scholar, Department of CSE, Godavari Institute of Engineering and Technology, Rajahmundry, Andhra Pradesh, India. 2Assistant Professor, Department of CSE, Godavari Institute of Engineering and Technology, Rajahmundry, Andhra Pradesh, India. To Cite this Article

CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE
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ABSTRACT The performance of Content - Based Image Retrieval (CBIR) system is depends on efficient feature extraction and accurate retrieval of similar images. Content based image retrieval is the task of retrieving the images from the large collection of database on the basis

Review on: Content Based Image Retrieval
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Abstract The paper presents a review of different techniques in content - based image retrieval . Content Based image retrieval is a system by which several images are retrieved from a large database collection. The paper starts with discussing the fundamental aspects

FEATURE EXTRACTION METHODS IN CONTENT BASED IMAGE RETRIEVAL : A REVIEW
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Abstract: Image retrieval is a dynamic research territory throughout the previous two decades. This range is increasing more significance as the development of interactive media content over the web is expanding. Content Based Image Retrieval (CBIR) utilizes the

An Enhanced Approach for Content Based Image Retrieval System
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ABSTRACT: Content Based Image Retrieval (CBIR) overcomes the traditional text- based image retrieval technology where search is based on automatic or manual explanation of images. For Image retrieval its an active research field. Content Based Image Retrieval is a

Review on Content Based Image Retrieval (CBIR) Technique
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Abstract: In digital image processing finding or searching a image in huge database of digital images is big task for designing more efficient image and shape matching algorithm. In data storage and image acquisition technologies we have to enabled the creation of large

Content Based Image Retrieval with Multi-Feature Classification by Back-propagation Neural Network
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Abstract: Emergence of Internet, as well as digital image acquisition technology, has increased the usage of rich visual information such as images and videos. It has become the integral and essential part of everyones life. Since image production has become easy and

A review on content based image retrieval by different Techniques
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Abstract In present time image data is growing up day by day in a large amount, and for an easy access of important data content based image retrieval technique for searching an image from a large database. Images are extracted by using visual contents like color,

Content Based Image Retrieval Using Hierachical and Fuzzy C-Means Clustering
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Abstract-Grouping images into semantically meaningful categories using low-level visual feature is a challenging and important problem in content based image retrieval . CBIR is a part of image processing. We know that with the development of the internet and the

An Efficient Approach for Content - Based Image Retrieval Using Distributed networks
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Abstract: Peer-to-peer networking offers an adaptable answer for sharing media information over the system. With a lot of visual information circulated among various nodes, it is a vital yet difficult issue to perform content - based retrieval in peer-to-peer networks. While the

An Enhancement On Dominant Color And Texture Feature Approach For Content Based Image Retrieval
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Abstract: Due to rapid increase in volume of image and video collections, traditional methods of indexing and retrieval using only keywords have become outdated. Therefore, alternative methods to describe images using their visual content have been developed.

CONTENT BASED IMAGE RETRIEVAL USING ENHANCED LOCAL TETRA PATTERNS
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ABSTRACT Content - based image retrieval (CBIR) is a technique to search the desired image from the homogeneous or heterogeneous database. Image is analyzed using features like shape, size, texture etc. which forms the basis of image retrieval . In CBIR, the

Content Based Image Retrieval using Feature Selection Techniques
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Abstract Content Based Image Retrieval (CBIR) is an approach for retrieving similar images from an image database based on automatically-derived image features. The quality of a retrieval system depends on the features used to describe image content . Image

Content Based Image Retrieval : Concept and Methodologies
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Abstract Due to increase in digital trend the number of images to be stored in digital format has also increase. so text based image retrieval was facing many problems to overcome these challenges content based image retrieval came under consideration, searching and

A Survey on Content - based Image Retrieval
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Abstract The widespread of smart devices along with the exponential growth of virtual societies yield big digital image databases. These databases can be counter-productive if they are not coupled with efficient Content - Based Image Retrieval (CBIR) tools. The last

Spatial and Transform domain based Content Based Image Retrieval for classification of Very High Resolution images
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ABSTRACT: In this paper, explore the combination of both spatial and transform domain methods for the satellite image which are very high resolution by applying content base image retrieval concept. The methodology is first applied to supervised classification

A NOVEL HAAR WAVELET TRANSFORM BASED TECHNIQUE FOR CONTENT BASED IMAGE RETRIEVAL
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Abstract Content based image retrieval is the heart favorite topic for many researchers. Now days it is a burning research topic, because it is used in a large number of areas. This paper proposes a novel haar wavelet transform method based technique for the content based

AND PERFORMANCE EVALUATION OF PROPOSED CBIR SYSTEM OF CONTENT BASED IMAGE RETRIEVAL USING COLOR, TEXTURE AND IMAGE
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ABSTRACT This paper has a look for the in the lands ruled over of image processing, image mining is move-forward in the field of facts mining. image mining is the extraction of put out of the way knowledge for computers, association of image data and added good example

Content - Based Image Retrieval by Multi-Features Extraction and K-Means Clustering
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Abstract Nowadays, Content - Based Image Retrieval has received a massive attention in the literature of image information retrieval , and accordingly a broad range of techniques have been proposed. However, these techniques are not free of defects in terms of

Content Based Medical Image Retrieval System Using DWT and LBP for Ear Images
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ABSTRACT This paper aims to develop visual- content based medical image retrieval technique to search and retrieve ear images from the medical image database. Content based medical image retrieval system search and retrieve images which are perceptually

A REVIEW ON CONTENT BASED IMAGE RETRIEVAL
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ABSTRACT Image retrieval means to recover the original image from the reconstructed image , here in this paper we have discussed latest techniques in the field of image retrieval for image processing. Content Based Image Retrieval (CBIR) is one of the most exciting and

A Proposal of an Efficient Feature Extracting Method for Content - Based Image Retrieval
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ABSTRACT Searching a required image from the World Wide Web (WWW) is very difficult because the WWW contains a huge number of images. To solve such a problem, an efficient system is needed to retrieve images that are required by the user. The content - based image

CONTENT BASED IMAGE RETRIEVAL FOR DETECTING BRAIN TUMOR: A REVIEW PAPER
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ABSTRACT Medical pictures play an important role in distinguishing diseases and police investigation if organs area unit functioning properly. Image process associated with medical pictures is a full of life analysis space within which varied techniques area unit utilized in

Hybrid Wavelet Transformed Row/Column Mean Content based Image Retrieval with Image Tiling
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Abstract One of the crucial problem of computer vision technique is search images in large databases. This problem is addressed with efficient Content Based Image Retrieval (CBIR) techniques. The research paper introduces three techniques validated with two different

INCREASE ROBUSTNESS AND PRIVACY OF CONTENT - BASED IMAGE RETRIEVAL IN CLOUD COMPUTING USING WATERMARK- BASED PROTOCOL
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ABSTRACT Content - based image retrieval (CBIR) are easy to manipulate and edit due to availability of powerful image processing and cloud computing environment. Searchable encryption (SE) scheme allows image users to search over encrypted data collection.

An evolutionary approach for optimizing content - based image retrieval using a support vector machine
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ABSTRACT: One of the vital challenges in the field of image retrieval is the semantic gap between visual features and high-level semantic concepts. Various kinds of relevance feedback approaches have been developed to deal with this semantic gap. Of these, the

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