AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Texture Segmentation Method Using Hierarchical Correlations of Wavelet Coefficients
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A Wavelet-Based Technique for Image Similarity Estimation
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
Improved segmentation of semiconductor defects using area sieves
Machine Vision and Applications
A clustering method based on multidimensional texture analysis
Pattern Recognition
Identification of drawing tools by classification of textural and boundary features of strokes
Pattern Recognition Letters
Texture retrieval based on a non-parametric measure for multivariate distributions
Proceedings of the 6th ACM international conference on Image and video retrieval
Multichannel texture segmentation using bamberger pyramids
Journal on Image and Video Processing
The gray level aura matrices for textured image segmentation
Analog Integrated Circuits and Signal Processing
| Hi-index | 0.01 |
The optimal features with which to discriminate between regions and, thus, segment an image often differ depending on the nature of the image. Many real images are made up of both smooth and textured regions and are best segmented using different features in different areas. A scheme that automatically selects the optimal features for each pixel using wavelet analysis is proposed, leading to a robust segmentation algorithm. An automatic method for determining the optimal number of regions for segmentation is also developed