Scinovex
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

This cluster of papers focuses on shape matching, object recognition, and content-based image retrieval using techniques such as local binary patterns, feature descriptors, and rotation-invariant methods. It also explores the application of these methods in medical imaging, semantic relevance modeling, and machine learning for image annotation.

77.4K works worldwide1.1M citations
Shape MatchingContent-Based Image RetrievalTexture ClassificationLocal Binary PatternsFeature DescriptorsSemantic RelevanceRotation InvariantMedical ApplicationsMachine LearningImage Annotation

Journals publishing in this area

Articles on Scinovex in this research area

3 articles, most cited first

  1. Mapping texture analysis of chili pepper in the Nepalese terai
    International Journal of Horticulture and Food Science · 2025 · 0 citations · AI summary
  2. Exploring texture analysis of cardamom in the Malay Archipelago
    International Journal of Horticulture and Food Science · 2025 · 0 citations · AI summary
  3. A novel approach of determining Stella Octangula number and Pronic number using initial value theorem in Z - Transform
    International Journal of Statistics and Applied Mathematics · 2017 · 0 citations