Design and Analysis of an Efficient Evolutionary Image Segmentation Algorithm
Journal of VLSI Signal Processing Systems
Computer Vision and Image Understanding
Seeded region growing: an extensive and comparative study
Pattern Recognition Letters
Color image segmentation by analysis of subset connectedness and color homogeneity properties
Computer Vision and Image Understanding
Designing spectral sensitivity curves for use with Artificial Color
Pattern Recognition
Graph regularization for color image processing
Computer Vision and Image Understanding
Color image segmentation guided by a color gradient network
Pattern Recognition Letters
Crop/weed discrimination in perspective agronomic images
Computers and Electronics in Agriculture
Journal of Visual Communication and Image Representation
SEGMENTATION OF MULTIPLE HUMAN OBJECTS IN VIDEO SEQUENCES
Applied Artificial Intelligence
Fuzzy mode enhancement and detection for color image segmentation
Journal on Image and Video Processing - Color in Image and Video Processing
Graph-based tools for microscopic cellular image segmentation
Pattern Recognition
Semantic Reasoning for Scene Interpretation
Cognitive Vision
Color image segmentation by analysis of subset connectedness and color homogeneity properties
Computer Vision and Image Understanding
Digital Image Processing in Remote Sensing
SIBGRAPI-TUTORIALS '09 Proceedings of the 2009 Tutorials of the XXII Brazilian Symposium on Computer Graphics and Image Processing
Color image segmentation based on type-2 fuzzy sets and region merging
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Choshi design system from 2D images
ICEC'10 Proceedings of the 9th international conference on Entertainment computing
A rough-fuzzy HSV color histogram for image segmentation
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
A fast dynamic border linking algorithm for region merging
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Hi-index | 0.01 |
This paper presents different algorithms, based on a combination of two structures of a graph and of two color image processing methods, in order to segment color images. The structures used in this study are the region adjacency graph and the associated line graph. We see how these structures can enhance segmentation processes such as region growing or watershed transformation. The principal advantage of these structures is that they give more weight to the adjacency relationships between regions than the usual methods. We note, nevertheless, that this advantage leads the adjustment of more parameters than other methods to best refine the result of the segmentation. We show that this adjustment is necessarily image dependent and observer dependent