Search Results - Image Processing and Computer Vision—Segmentation General Terms Algorithms

Learning few-shot semantic segmentation with error-filtered segment anything model.

Authors: Feng, Chen-Bin Lai, Qi Liu, Kangdao et al.

Source: Visual Computer; Aug2025, Vol. 41 Issue 10, p7351-7365, 15p

Subject Terms: COGNITIVE psychology, ARTIFICIAL intelligence, IMAGE processing, COMPUTER vision, IMAGE analysis

Computer vision segmentation model--deep learning for categorizing microplastic debris.

Authors: Royer, Sarah-Jeanne Wolter, Helen Delorme, Astrid E. et al.

Source: Frontiers in Environmental Science; 2024, p1-13, 13p

Subject Terms: COMPUTER vision, IMAGE recognition (Computer vision), IMAGE segmentation, DEEP learning, MARINE debris, DEPLOYMENT (Military strategy), IMAGE processing

Research on hotspots and frontiers of agricultural pests and diseases image recognition technology based on bibliometrics.

Authors: Zhang, Hongtao Zheng, Li Liu, Yu et al.

Source: Multimedia Tools & Applications; Jul2025, Vol. 84 Issue 24, p28559-28581, 23p

Subject Terms: IMAGE recognition (Computer vision), AGRICULTURAL pests, AGRICULTURAL research, BIBLIOMETRICS, CONCEPT mapping, CROP science, REMOTE sensing

Company/Entity: CHINESE Academy of Sciences (Beijing, China)

Deep Learning Based Detection and Classification of Gastrointestinal Abnormalities from Endoscopic Imaging Data.

Authors: Kumari, T. Swetha Vasuki, R.

Source: International Research Journal of Multidisciplinary Technovation (IRJMT); 2025, Vol. 7 Issue 5, p223-239, 17p

Subject Terms: DEEP learning, INTESTINAL abnormalities, IMAGE processing, DETECTION algorithms, MATHEMATICAL optimization, ENDOSCOPIC ultrasonography, ROUTINE diagnostic tests

Cross-scale correlation analysis of water-induced deterioration on soft rock in coal mine underground reservoir engineering based on deep learning algorithm.

Authors: Liu, Hao Zhao, Zenghui Ma, Qing et al.

Source: International Journal of Coal Science & Technology; 5/27/2025, Vol. 12 Issue 1, p1-21, 21p

Subject Terms: MACHINE learning, MINES & mineral resources, MINE water, DEEP learning, COAL mining

SASAM: a semantic-aware SAM framework for weld seam vision measurement.

Authors: Zhang, Xingyi Yu, Changqi Chen, Shihao et al.

Source: Measurement Science & Technology; Jul2025, Vol. 36 Issue 7, p1-14, 14p

Subject Terms: LANGUAGE models, JOINING processes, MANUFACTURING processes, IMAGE segmentation, WELDING, DEEP learning

Exploring Image Decolorization: Methods, Implementations, and Performance Assessment.

Authors: Žeger, Ivana Šetka, Ivan Marić, Domagoj et al.

Source: Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 23, p11401, 29p

Subject Terms: COLOR space, CUMULATIVE distribution function, ROOT-mean-squares, GRAYSCALE model, IMAGE processing, DEEP learning

A Systematic Review on Caries Detection, Classification, and Segmentation from X-Ray Images: Methods, Datasets, Evaluation, and Open Opportunities.

Authors: Zanini, Luiz Guilherme Kasputis Rubira-Bullen, Izabel Regina Fischer Nunes, Fátima de Lourdes dos Santos

Source: Journal of Digital Imaging; Aug2024, Vol. 37 Issue 4, p1824-1845, 22p

Subject Terms: DIAGNOSIS of dental caries, DENTAL radiography, RESEARCH funding, DESCRIPTIVE statistics, SYSTEMATIC reviews, MEDLINE, X-rays, DENTISTRY, DENTAL caries, DENTAL technology, DIGITAL image processing, ONLINE information services, MACHINE learning, COMPARATIVE studies

Advanced Techniques for the Intelligent Diagnosis of Fish Diseases: A Review.

Authors: Li, Daoliang Li, Xin Wang, Qi et al.

Source: Animals (2076-2615); Nov2022, Vol. 12 Issue 21, p2938, 26p

Subject Terms: FISH diseases, DIAGNOSIS, DEEP learning, EXPERT systems, COMPUTER vision, ULTRASONIC imaging, THREE-dimensional imaging, IMAGE processing

Evolution of a local Boundary Detector for Natural Images via Genetic Programming and Texture Cues Track: Genetic Programming Anonymous

Contributors: The Pennsylvania State University CiteSeerX Archives

Source: http://www.cs.bgu.ac.il/~ben-shahar/Publications/gecco2009.pdf.

Subject Terms: Categories and Subject Descriptors I.4.6 [Computing Methodologies, Image Processing and Computer Vision—Segmentation General Terms Algorithms, Measurement, Performance, Design Keywords Boundary Detection, Computer Vision, Machine Learning, Evolutionary Algorithms

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.637.8687

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.637.8687
http://www.cs.bgu.ac.il/~ben-shahar/Publications/gecco2009.pdf

Evolution of a local Boundary Detector for Natural Images via Genetic Programming and Texture Cues

Authors: Ilan Kadar Ohad Ben-shahar The Pennsylvania State University CiteSeerX Archives

Contributors: Ilan Kadar Ohad Ben-shahar The Pennsylvania State University CiteSeerX Archives

Source: http://www.genetic-programming.org/hc2009/6-Sipper-Boundary/Sipper-Boundary-Paper-2-GECCO.pdf.

Subject Terms: Categories and Subject Descriptors I.4.6 [Computing Methodologies, Image Processing and Computer Vision—Segmentation General Terms Algorithms, Measurement, Performance, Design Keywords Boundary Detection, Computer Vision, Machine Learning, Evolutionary Algorithms

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.8905

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.8905
http://www.genetic-programming.org/hc2009/6-Sipper-Boundary/Sipper-Boundary-Paper-2-GECCO.pdf

Single image super-resolution: a comprehensive review and recent insight.

Authors: Al-Mekhlafi, Hanadi Liu, Shiguang

Source: Frontiers of Computer Science; Feb2024, Vol. 18 Issue 1, p1-18, 18p

“Inside the Bible”: Segmentation, Annotation and Retrieval for a New Browsing Experience

Authors: Costantino Grana Reggio Emilia Daniele Borghesani et al.

Contributors: Costantino Grana Reggio Emilia Daniele Borghesani et al.

Source: http://www.ismll.uni-hildesheim.de/lehre/semML-09s/script/p379-grana.pdf.

Subject Terms: – Document Capture- Document analysis, Graphics recognition and interpretation. I.4.6 [Computing Methodologies, Image Processing and Computer Vision – Segmentation- Pixel classification. I.5.5 [Computing Methodol, Pattern Recognition – Implementation- Interactive systems. General Terms Algorithms, Design. Keywords Document analysis, Texture analysis, Von Mises distribution

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.6754

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.6754
http://www.ismll.uni-hildesheim.de/lehre/semML-09s/script/p379-grana.pdf

Style Learning with Feature-Based Texture Synthesis.

Authors: XUEXIANG XIE FENG TIAN HOCK SOON SEAH

Source: Computers in Entertainment; Dec2008, Vol. 6 Issue 4, p58-58-13, 13p, 2 Color Photographs, 6 Black and White Photographs, 1 Diagram

Subject Terms: COMPUTER assisted instruction, ART education, PATTERN recognition systems, FEATURE extraction, COMPUTER graphics, IMAGE processing

VOTING-BASED IMAGE SEGMENTATION.

Authors: Boiangiu, Costin-Anton Ioanitescu, Radu

Source: Journal of Information Systems & Operations Management; Dec2013, Vol. 7 Issue 2, p1-11, 11p

Subject Terms: IMAGE segmentation, ALGORITHMS, COMPUTER vision, CLUSTER analysis (Statistics), IMAGE processing

A competitive study of the pseudoflow algorithm for the minimum s- t cut problem in vision applications.

Authors: Fishbain, B. Hochbaum, Dorit Mueller, Stefan

Source: Journal of Real-Time Image Processing; Mar2016, Vol. 11 Issue 3, p589-609, 21p

COMPUTER VISION AIDED MEASUREMENT OF MORPHOLOGICAL FEATURES IN MEDICAL OPTICS.

Authors: Bologa, Bogdana Darabant, Adrian Sergiu

Source: Studia Universitatis Babeş-Bolyai, Informatica; 2010, Vol. 55 Issue 1, p111-120, 10p, 5 Color Photographs, 4 Black and White Photographs, 3 Charts

Subject Terms: COMPUTER vision, IMAGE processing, EYESTRAIN, CAMCORDERS, OPTICAL computers

A Modified GrabCut Using a Clustering Technique to Reduce Image Noise.

Authors: GangSeong Lee SangHun Lee GaOn Kim et al.

Source: Symmetry (20738994); Jul2016, Vol. 8 Issue 7, p64, 9p

Subject Terms: MEDIAN filters (Electronics), DIGITAL image processing, DIGITAL electric filters, DIGITAL signal processing, RANDOM noise theory

Visualization techniques to support CCTV operators of smart city services.

Authors: Pawłowski, Paweł Dąbrowski, Adam Balcerek, Julian et al.

Source: Multimedia Tools & Applications; Aug2020, Vol. 79 Issue 29/30, p21095-21127, 33p

Subject Terms: SMART cities, MUNICIPAL services, IMAGE processing, CLOSED-circuit television, DATA visualization, VISUALIZATION, IMAGE registration

Symbiotic Intelligence

Authors: Hua Chai Ding Wen Nic Bao Zhe Guo et al.

Resource Type: eBook.

Subjects: Automation--Congresses, Artificial intelligence--Engineering applications--Congresses, Robotics--Congresses, Computer-aided engineering--Congresses, Computer-aided engineering, Architectural design--Data processing--Congresses, Artificial intelligence

Categories: TECHNOLOGY & ENGINEERING / Civil / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Design, Graphics & Media / CAD-CAM