color extraction technique


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Face detection and facial feature extraction using color snake
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Face detection and facial feature extraction is a necessary ?rst-step in face recognition systems. These tasks are one of the visual tasks, which humans can do e_ 0rtlessl_v. However; in computer vision terms, this task is not easy. This paper presents new active

Blood cells extraction using color based segmentation technique
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Blood cell segmentation and identification is a vital in the study of blood as a health indicator. A complete blood count is used to determine the state of a persons health based on the contents of the blood in particular the white blood cells and the red blood cells. The

Color feature extraction of tomato leaf diseases
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In addition to environmental parameters like rain, temperature; diseases on crop is major factor which affects production quality quantity of crop yield. Hence disease management is key issue in agriculture. For management of disease, it needs to be detected at early stage

Fish recognition based on robust features extraction from color texture measurements using back-propagation classifier
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Problem statement: image recognition is a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap, and occlusion of objects in digital images. In our study, there

Design of feature extraction in content based image retrieval (CBIR) using color and texture
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Retrieval of images based on visual features such as color , texture and shape have proven to have its own set of limitations under different conditions. Various techniques have been implemented using these features like fuzzy color histogram, Tammura texture etc. In this

Low-level color and texture feature extraction for content-based image retrieval
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An up-to-date comparison of state-of-the-art low-level color and texture feature extraction methods, for the purpose of content-based image retrieval (CBIR) is presented in this report. CBIR is a technique that utilizes the visual content of an image, to search for similar images

Color texture feature extraction for content based image retrieval
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Content based image retrieval (CBIR) is a challenging problem due to large size of the image database, difficulty in recognizing images, difficulty in devising a query and evaluating results in terms of semantic gap, computational load to manage large data files

Content based image retrieval using color feature extraction with KNN classification
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Image Retrieval system is an effective and efficient tool for managing large image databases. Content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query

Effect of extended maceration and ethanol concentration on the extraction and evolution of phenolics, color components and sensory attributes of Merlot wines
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Abstract Background and Aims: Anecdotal evidence suggests that there be a synergistic effect of ethanol (EtOH) and prolonged skin contact on the extraction of certain phenolics that negatively impact wine sensory properties. The combined effect of

Fish classification based on robust features extraction from color signature using back-propagation classifier
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Problem statement: Image recognition was a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap and occlusion of objects in digital images. In our study, there

A Review: Color Feature Extraction Methods for Content Based Image Retrieval
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For more than a decade Content Based Image Retrieval is topic of interest for researcher. The three primitive visual features, namely, color , texture and shape refers to the term contentin content based image retrieval. Although visual features cannot be completely

Emotion recognition based on 2d-3d facial feature extraction from color image sequences
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In modern human computer interaction systems, emotion recognition from video is becoming an imperative feature. In this work we propose a new method for automatic recognition of facial expressions related to categories of basic emotions from image data. Our method

Building extraction from high resolution color imagery based on edge flow driven active contour and JSEG
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Building extraction and delineation is one of the most salient problems in cartographic features extraction . This paper presents a novel framework for reliable and accurate building extraction from high-resolution color imagery focusing on building boundary delineation and

Color image processing of weed classification: A comparison of Two feature extraction technique
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It is a common practice in most image recognition applications to convert color images to gray scale prior to analysis. By doing so, the original colored image will lose its color features which be critical especially when the recognition is based on the colorColor is the major source of information widely used in image analysis and content-based retrieval. Extracting dominant colors that are prominent in a visual scenery is of utmost importance since the human visual system primarily uses them for perception and similarity

Wavelet based content based image retrieval using color and texture feature extraction by gray level coocurence matrix and color coocurence matrix
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In this study we proposes an effective content based image retrieval by color and texture based on wavelet coefficient method to achieve good retrieval in efficiency. Color feature extraction is done by color Histogram. The texture feature extraction is acquired by Gray

A framework for soccer video processing and analysis based on enhanced algorithm for dominant color extraction
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Video contents retrieval and semantics research attract a large number of researchers in video processing and analysis domain. The researchers try to propose structure or frameworks to extract the content of the video thats integrating many algorithms using low

Automatic extraction of road signs from terrestrial color imagery
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The advent of massive quantities of high spatial resolution multispecfral image~ y mandates the development of effective algorithms to manipulate these data. As a result of this research, an algorithm for automatic extraction of road signs from color terrestrial imageq

Canned Pineapple Grading Using Pixel Color Extraction
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Malaysia is a one of the main producer of canned pineapple in the world. According to Malaysian Pineapple Board Industry, it is about 5% of total production of canned pineapple is meant for export. MPIB was responsible in controlling the quality of product before

Extraction of tumor region in color images using wavelets
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In this paper, a wavelet-based method is proposed to extract the tumor region from a color medical image. In the past, the diagnosis of tumors usually relied upon the tissue section stained by methylene blue. However, traditional approaches have relied primarily on CSE PROJECTS

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