IMAGE PROCESSING-2020


digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing.

Image processing based foot plantar pressure distribution analysis and modeling
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Although many equipments and techniques are available for plantar pressure analysis to study foot pressure distributions, there is still a need for mathematical modelling references to compare the acquired measurements. In order to derive formulas in this concern, this

Image processing and machine learning techniques used in computer-aided detection system for mammogram screening-A review
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This paper aims to review the previously developed Computer-aided detection (CAD) systems for mammogram screening because increasing death rate in women due to breast cancer is a global medical issue and it can be controlled only by early detection with regular

Eleventh International Conference on Graphics and Image Processing (ICGIP 2019)
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The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations not be available for publication. Additional

Detection of Hydrothermal Alteration Zones using Image Processing Techniques,
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Use of satellite images to detect hydrothermal alteration zones can be helpful for efficient mineral explorations. Remote Sensing (RS) techniques make it possible to save cost and time for accurate primary explorations. The purpose of this research is to use the image

imageProcAnal: A novel Matlab software package for image processing and analysis
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In present study, I developed a powerful Matlab-based software package, imageProcAnal (Version 1.0), for image processing and analysis. Several modules were available for uses. Functions to resize, crop, rotate, dilate, pixelate and watermark images are included in Basic For calculating 3D information with stereo matching, usually correspondence analysis yields a so-called depth hypotheses cost stack, which contains information about similarities of the visible structures at all positions of the analyzed stereo images. Often those cost values

The impact of irreversible image data compression on post- processing algorithms in computed tomography
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PURPOSE We aimed to evaluate the influence of irreversible image compression at varying levels on image post- processing algorithms (3D volume rendering of angiographs, computer- assisted detection of lung nodules, segmentation and volumetry of liver lesions, and

Stress Detection in IT Professionals by Image Processing and Machine Learning
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The main motive of our project is to detect stress in the IT professionals using vivid Machine learning and Image processing techniques. Our system is an upgraded version of the old stress detection systems which excluded the live detection and the personal counseling but

Indian Currency Recognition and Authentication using Image Processing
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ABSTRACT A currency note is a type of a negotiable instrument made by a bank, payable to the bearer on demand. The Indian Rupee is the official currency of the Republic of India. Counterfeit money is imitation currency produced without the legal authorization of the state

Deep Reinforcement Learning and Image Processing for Adaptive Traffic Signal Control
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In this paper, a traffic control system is build which can easily keep traffic in control using image processing techniques and deep reinforcement learning is presented. In this method, a camera is used in each stage of the traffic light in order to capture the roads where traffic is

Enhancing Real-time Embedded Image Processing Robustness on Reconfigurable Devices for Critical Applications
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Nowadays, computer vision is one of the most evolving areas of Information Technology (IT). Digital image processing , ie, the use of algorithms to process and/or extract information from digital images, is being increasingly adopted in multiple application fields. In general, digital

Discussion on Image Processing for Sign Language Recognition: An overview of the problem complexity
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The goal of this paper is to conduct a literature study of the three phases of the process of developing an Automatic Sign Language Recognition (ASLR) system, in order to discuss the problem complexity, and show results of conducted tests using Digital Image Processing

Prediction of Land Cover Changes in Vellore District of Tamil Nadu by Using Satellite Image Processing
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Prediction of land cover changes is important to evaluate the land use or land cover changes to monitor the land use changing aspects for the Vellore district. Due to land use and land cover change, most of the rural areas around the Vellore district become unable to


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