Presents a knowledge-based method for segmenting color images of road scenes. The knowledge base contains color and texture representations of objects typically found in such scenes. The segmentation algorithm uses the knowledge base to classify each image region according to its chromaticity and fractal dimension. A key feature of the texture classifier is its robustness with respect to image scale and contrast. We also discuss extensions of our method to other applications.<>
Segmentation of road scenes using color and fractal-based texture classification
Proceedings of 1st International Conference on Image Processing ; 3 ; 1026-1030 vol.3
1994-01-01
412972 byte
Conference paper
Electronic Resource
English
Segmentation of Road Scenes using Color and Fractal-Based Texture Classification
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