Search Results - [Image Processing AND Computer Vision]: Segmentation—Edge AND feature detection*

Cubixel: a novel paradigm in image processing using three-dimensional pixel representation.

Authors: Aburass, Sanad

Source: Multimedia Tools & Applications; Jul2025, Vol. 84 Issue 23, p26215-26265, 51p

Subject Terms: IMAGE processing, COMPUTER vision, COMPUTER-assisted image analysis (Medicine), PIXELS, STEREOSCOPY, IMAGE segmentation, DEEP learning

Eyes of the Future: Decoding the World Through Machine Vision.

Authors: Khonina, Svetlana N. Kazanskiy, Nikolay L. Oseledets, Ivan V. et al.

Source: Technologies (2227-7080); Nov2025, Vol. 13 Issue 11, p507, 37p

Subject Terms: COMPUTER vision, DEEP learning, OBJECT recognition (Computer vision), IMAGE processing, ARTIFICIAL intelligence, AUTONOMOUS robots

Pointer Meter Reading Recognition Based on YOLOv11-OBB Rotated Object Detection.

Authors: Xu, Xing Wang, Liming Deng, Chunhua et al.

Source: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7460, 20p

Subject Terms: OBJECT recognition (Computer vision), MEASURING instruments, TEMPLATE matching (Digital image processing), INDUSTRIAL applications, INSPECTION & review

Towards an End-to-End Digital Framework for Precision Crop Disease Diagnosis and Management Based on Emerging Sensing and Computing Technologies: State over Past Decade and Prospects.

Authors: Nkwocha, Chijioke Leonard Chandel, Abhilash Kumar

Source: Computers (2073-431X); Oct2025, Vol. 14 Issue 10, p443, 69p

Subject Terms: PLANT diseases, MACHINE learning, PRECISION farming, DEEP learning, REAL-time computing, IMAGING systems, EDGE computing, ARTIFICIAL intelligence

Recognition of Human Iris Patterns for Biometric Identification

Authors: Libor Masek The Pennsylvania State University CiteSeerX Archives

Contributors: Libor Masek The Pennsylvania State University CiteSeerX Archives

Source: http://www.csse.uwa.edu.au/~pk/studentprojects/libor/LiborMasekThesis.pdf.

Subject Terms: iris recognition, biometric identification, pattern recognition, automatic segmentation. CR Categories, I.5.1 [Pattern Recognition, Models – Statistical, I.4.6 [Image Processing and Computer Vision, Segmentation- Edge and feature detection, I.4.7 [Image Processing and Computer Vision, Feature Measurement- Feature representation. ii

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.5112; http://www.csse.uwa.edu.au/~pk/studentprojects/libor/LiborMasekThesis.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.5112
http://www.csse.uwa.edu.au/~pk/studentprojects/libor/LiborMasekThesis.pdf

Lightweight palm and finger tracking for real-time 3d gesture control

Authors: Georg Hackenberg Rod Mccall Wolfgang Broll et al.

Contributors: Georg Hackenberg Rod Mccall Wolfgang Broll et al.

Source: http://rodmc.com/wp-content/uploads/2012/04/vr2011paper.pdf.

Subject Terms: INDEX TERMS, H5.2 [Information interfaces and presentation, User Interfaces.- Input devices and strategies, Graphical user interfaces, I3.6 [Computer Graphics, Methodologies and Techniques. – Interaction Techniques, I4.6 [Image Processing and Computer Vision, Segmentation. – Edge and Feature Detection

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.3253

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.3253
http://rodmc.com/wp-content/uploads/2012/04/vr2011paper.pdf

A Deep Learning-Based Three-Stage Method for Spillway Blockage Detection in Reservoirs.

Authors: Xu, Xiaohua Bao, Xuecai Wang, Yining et al.

Source: Water (20734441); Dec2024, Vol. 16 Issue 23, p3396, 18p

Subject Terms: OBJECT recognition (Computer vision), DETECTION algorithms, EMERGENCY management, FLOOD control, FOREIGN bodies, IMAGE segmentation, DEEP learning

Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge, and Skeleton.

Authors: Liu, Jiang-Jiang Hou, Qibin Cheng, Ming-Ming

Source: IEEE Transactions on Image Processing; 2020, Vol. 29, p8652-8667, 16p

Subject Terms: SKELETON, HUMAN skeleton, SPINE, FEATURE extraction, LOGIC circuits

Distance Field-Based Convolutional Neural Network for Edge Detection.

Authors: Hu, Dadan Yang, Hongbo Hou, Xia

Source: Computational Intelligence & Neuroscience; 3/3/2022, p1-10, 10p

Subject Terms: CONVOLUTIONAL neural networks, DEEP learning, COMPUTER vision, FEATURE extraction, IMAGE processing

Advanced deep transfer learning techniques for efficient detection of cotton plant diseases.

Authors: Johri, Prashant Kim, SeongKi Dixit, Kumud et al.

Source: Frontiers in Plant Science; 2025, p1-22, 22p

Subject Terms: COTTON growing, SUSTAINABLE agriculture, PLANT diseases, SUSTAINABILITY, STANDARD deviations

CROP DETECTION USING SATELLITE IMAGE PROCESSING.

Authors: JADHAV, PRATIK KACHAVE, VISHWAMBHAR MANE, AAKASH et al.

Source: i-Manager's Journal on Image Processing; Apr-Jun2023, Vol. 10 Issue 2, p50-60, 11p

Height Ridge Computation and Filtering for Visualization

Authors: Peikert, Ronald Sadlo, Filip

Source: IEEE Pacific Visualization Symposium, 2008 : PacificVIS '08 ; Kyoto, Japan, 5 - 7 March 2008

Subject Terms: [Computer Graphics]: Applications, [Image Processing and Computer Vision]: Segmentation—Edge and feature detection, [Physical Sciences and Engineering]: Engineering

Relation: info:eu-repo/semantics/altIdentifier/isbn/978-1-4244-1966-1; info:eu-repo/semantics/altIdentifier/wos/000254735500016; http://hdl.handle.net/20.500.11850/9873

Availability: https://hdl.handle.net/20.500.11850/9873

Research on Edge Detection and Image Segmentation of Cabinet Region Based on Edge Computing Joint Image Detection Algorithm.

Authors: Gao, Huixin Zhou, Gang Cao, Yang et al.

Source: International Journal of Reliability, Quality & Safety Engineering; Oct2022, Vol. 29 Issue 5, p1-23, 23p

Subject Terms: EDGE computing, COMPUTER vision, ALGORITHMS, IMAGE processing, IMAGE segmentation, EDGE detection (Image processing), INTERNET of things

A color edge extraction method on color image.

Authors: Wu, Qing E. Song, Zhichao Chen, Hu et al.

Source: Multimedia Tools & Applications; Mar2024, Vol. 83 Issue 9, p25435-25460, 26p

Maize Leaf Area Index Estimation Based on Machine Learning Algorithm and Computer Vision.

Authors: Fu, Wanna Chen, Zhen Cheng, Qian et al.

Source: Agriculture; Basel; Jun2025, Vol. 15 Issue 12, p1272, 22p

Subject Terms: MACHINE learning, LEAF area index, COMPUTER vision, CUMULATIVE distribution function, COLOR space

A Novel Approach for Tomato Leaf Disease Classification with Deep Convolutional Neural Networks.

Authors: IRMAK, Gizem SAYGILI, Ahmet

Source: Journal of Agricultural Sciences / Tarim Bilimleri Dergisi; 2024, Vol. 30 Issue 2, p367-385, 19p

Subject Terms: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, NOSOLOGY, IMAGE recognition (Computer vision), MACHINE learning, TOMATOES

Deep learning system for paddy plant disease detection and classification.

Authors: Haridasan, Amritha Thomas, Jeena Raj, Ebin Deni

Source: Environmental Monitoring & Assessment; Jan2023, Vol. 195 Issue 1, p1-28, 28p

Subject Terms: RICE, DEEP learning, CONVOLUTIONAL neural networks, NOSOLOGY, RICE diseases & pests, SUPPORT vector machines, PLANT diseases

An Exponential Pyramid-Based Model of Contour Classification in Figure-Ground Segregation

Authors: Michael R. Scheessele The Pennsylvania State University CiteSeerX Archives

Contributors: Michael R. Scheessele The Pennsylvania State University CiteSeerX Archives

Source: http://www.cs.iusb.edu/technical_reports/TR-20031222-1.pdf.

Subject Terms: Categories and Subject Descriptors, I.4.6 [Image Processing and Computer Vision, Segmentation – Edge and feature detection, I.2.10 [Artificial Intelligence, Vision and Scene Understanding – Perceptual reasoning, J.4 [Computer Applications, Social and Behavioral Sciences- Psychology General Terms, Theory, Algorithms, Experimentation Additional Key Words and Phrases, pyramid, computational vision, figure-ground segregation, perceptual organization, Gestalt, psychophysics, contour classification

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Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.9106

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.9106
http://www.cs.iusb.edu/technical_reports/TR-20031222-1.pdf

Eurographics Conference on Visualization (EuroVis) 2013

Authors: B. Preim P. Rheingans H. Theisel et al.

Contributors: B. Preim P. Rheingans H. Theisel et al.

Source: http://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-paper.pdf.

Subject Terms: Categories and Subject Descriptors (according to ACM CCS, I.3.3 [Computer Graphics, Picture/Image Generation—Display algorithms I.3.7 [Computer Graphics, Three-Dimensional Graphics and Realism— Raytracing I.4.6 [Image Processing and Computer Vision, Segmentation—Edge and feature detection

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.218

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.218
http://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-paper.pdf

MaskMatch: uncertainty calibration for dynamic masking in semi-supervised image segmentation.

Authors: Liao, Aihua Hao, Kuangrong Wei, Bing et al.

Source: Applied Intelligence; Jul2025, Vol. 55 Issue 10, p1-18, 18p