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7 articles for “Gabor Wavelet Transform”
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A Novel Approach to Reduce Image Retrieval Problem Using Gabor Transform, Wavelet Transform and Euclidean Distance Measure
Abstract: In the processing of image, pattern recognition and computer vision, the image retrieval is a most famous research area. Our paper presents a new method in CBIR through merging the low level feature i.e. texture, color and shape features. At first, we transform the color space from RGB model to HSV model, and then extract color histogram to form color feature vector. CBIR is the process where search of image …
Published in E-Commerce for Future & Trends · Vol. 3, Issue 1, 2016 · pp. 10–15 Read article
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A Robust Face Recognition Model based on Convolutional Neural Networks
Abstract: From the past several years, face recognition is one of the challenging issues in computer vision, due to three main technical problems in it. 1) Expression problem: in which same person shows more than one expression. 2) Illumination problem: in which face images of the person are strongly corrupted by lightning and 3) poses problem: in which large portion of the face becomes invisible due to occlusion. To this end …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 1–11 Read article
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Automated Land Crude Oil Spill Detection with Gabor Filters and Wavelet Transform
Abstract: AbstractEarly detection of crude oil spills leads to significant reduction in the environmental pollution, economic losses and health hazards that result from these spills. The visiblelightspectrumstill remainsaresearcharea for spill detectionbecauseitis aquick economicalmethodformonitoringoil spills. This paper presents an algorithm for automated land crude oil spill detection in the visible spectrum. The algorithm employs three basic steps for crude oil spill detection: Gaborfiltration, wavelet transformanalysis, and color homogeneity extraction. The algorithm was …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 9–17 Read article
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A Survey on Face Recognition Techniques and Its Applications
Abstract: Face recognition has been a fast growing, and interesting area in real time applications. Automatic face recognition has shown great achievement for high-quality images under embarrassed conditions; for video-based recognition it is hard to achieve similar levels of performance. Human face detection and tracking of moving objects in the video are important tasks of the computer vision. Human and object frames are separated by implementing a face detection algorithm for …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 16–21 Read article
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Review on Various Image Fusion Techniques
Abstract: Recently the wide research field in image processing is image fusion. Combining of all the information and data from all the images without any ruin of information and distortion is image fusion. To obtain an image having all the relevant features at focus is not easy, so getall the feature in single image is obtained by fusing the images with different techniques. This paper describe the brief survey of the …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 14–17 Read article
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Different Various Techniques of CBIR: A Review
Abstract: Abstract—The content-based image retrieval (CBIR) is turning into a supply of precise and fast retrieval. In this paper, the strategies of CBIR are mentioned. As image collections are growing at a rapid fee, call for efficient and powerful equipment for retrieval of query pictures from a database is expanded appreciably. Among them, CBIR have turn out to be very famous for browsing, looking and retrieving pictures from a big database …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 2, 2017 · pp. 18–24 Read article
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Face Recognition Using Neural Networking Algorithms
Abstract: Face recognition system has become quite popular nowadays. It has gained a good attention in recent few years. Face recognition is practically everywhere, in security system for criminal activities, places like airports and international borders, it is needed for identification of people. In the paper, we discussed about three Neural Networking Algorithms used for FR such as Gabor Filter, Principle Component Analysis with Back Propagation Neural Network and Wavelet Transform …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 23–27 Read article