31 results for “Edge-Based Feature”

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Research ArticleOpen accessIn the abstractAutomatic Detection of Exudates in Retinal Images using Region-Based, Neighborhood and Block OperationKittipol Wisaeng, Worawat Sa-NgiamviboolExudates detection is one of the research areas attracting great attention of physicians and scientists. A region-based, neighborhood, block operation and optimal global thresholding are proposed as new methods to exudates detection. The exudates are coarse and fine segmentation following preprocessing steps, i.e., color mapping, image contrast enhancement, fuzzy filtering and optic disc localization. To classify the retinal images into … …Journal of Computer Science, Vol. 14, Issue 4 · 21 Feb 2018 · 7,982 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDECISION TREE BASED OCCLUSION DETECTION IN FACE RECOGNITION AND ESTIMATION OF HUMAN AGE USING BACK PROPAGATION NEURAL NETWORKP. Karthigayani, S. SridharOcclusion detection in face verification is an essential problem that has not widely addressed. In this study the research is deals about occlusion detection in face recognition and estimation of human age using image processing. The objects hide from another object is called as occlusion. Occlusion conditions may vary from face wearing sunglasses, wearing of scarf in the eyes and … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,770 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Real-time Image Processing with a Compact FPGA-based ArchitectureRidha Djemal, Didier Demigny, Rached TourkiThis study have presented a filed programmable gate array implementation of a real time video smoothing algorithm. In comparison with smoothing video techniques like deblocking filters in H.264 or smoothing in JPEG2000, the proposed method is implemented in hardware and its computational cost and complexity are reduced where all pixel processing related to uncompressed video is done on the fly. … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 7,001 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA New Modified Gaussian Mixture Model for Color-Texture SegmentationM. Sujaritha, S. AnnaduraiProblem statement: This study presents a new, simple and efficient modified Gaussian mixture model based clustering algorithm for color-texture segmentation. The proposed mixture model introduces a new component density function which incorporates spatial information and the weighting factor for neighborhood effect is fully adaptive to the image content. Approach: It enhances the smoothness towards piecewise-homogeneous segmentation and reduces the edge-blurring … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,329 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordAn Edge Efficient and Lightweight Hybrid CNN Vision Transformer Network With CBAM for IoT Based Plant Disease DetectionNyabeye Pangop Doris-Khöler, Kengni Ngangmo OlgaDetecting crop disease early enough to act on it remains a bottleneck for smallholder and precision farming alike, particularly when diagnosis depends on manual inspection or lab analysis that cannot keep pace with an outbreak. We present AgriViTNet, a compact CNN-Vision Transformer hybrid built for exactly this constraint: It extracts local texture cues through convolution, relates them across the whole … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 578 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordA Hybrid Grey Wolf Optimizer and Deep Transfer Learning-Based Intrusion Detection System for IoTKapil Shrivastava, Manish Tiwari, Prasun ChakrabartiThe rapid proliferation of Internet of Things (IoT) devices has driven significant advancements in connectivity and automation, but it has also introduced substantial cybersecurity risks, including intrusions and cyberattacks. To address these challenges, this study proposes a hybrid intrusion detection framework that combines advanced optimization techniques with ensemble deep learning to enhance detection accuracy and computational efficiency. The proposed framework … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,506 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordPedestrian Recognition Based on Multi-Scale Weighted HOGMonther Hussein Al-BsoolPedestrian recognition receives a great attention in recent years due to its importance in traffic accidents identification. Traffic surveillance systems can provide valuable information for pedestrian recognition using computer vision and image processing techniques. Most techniques exploit simple feature extraction and multi-stage feature matching to train classifiers. In this study, Canny edge information and Histogram of Oriented Gradient (HOG) has … …Journal of Computer Science, Vol. 14, Issue 11 · 7 Nov 2018 · 7,158 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordAutomatic Recognition System of Vehicle Plate for Recording Incoming Vehicles to the University Campus and the OutgoingA.A. El-Harby, G.M. Behery, A.A. Al-DhawiAutomatic recognition of vehicle plate characters became a very important in our daily life because of the unlimited increase of vehicles that enter or leave a supervised area. This paper describes an automatic intelligent system that captures the images of vehicles and has the ability to recognize the plates of vehicles entering the university campus or leaving. A camera is … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 7,680 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordA COMPARISION OF VARIOUS EDGE DETECTION TECHNIQUES IN MOTION PICTURE FOR IDENTIFYING A SHARK FISHShrivakshan Gopal Thiruvangadan, Chelliah ChandrasekarThe significant feature of detecting the motion image objects in this study it try identify the shark fish videos by removing the Background of the image. The main method involved in the detecting from the background is the foreground detection of the image. There are many techniques which usually ignore the fact that the background images consist of different image … …Journal of Computer Science, Vol. 9, Issue 11 · 18 Sep 2013 · 6,691 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordAutomatic Mouth Localization Using Edge ProjectionMohamed RizonProblem statement: This study presented algorithms to detect mouth from color and intensity images. Approach: First, this algorithm detected the face region in the image and extracts intensity valleys from the face region. Next, the algorithm extracted iris candidates from the valleys and computed the costs for each pair of iris candidates. Finally, a pair of iris candidates was selected … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 6,877 accessesView PDF Cite