Segmentation of road scenes using color and fractal-based texture classification

A. C. She; T. S. Huang

doi:10.1109/ICIP.1994.413912

Segmentation of road scenes using color and fractal-based texture classification

A. C. She, T. S. Huang

Coordinated Science Lab

Research output: Contribution to journal › Conference article › peer-review

Abstract

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.

Original language	English (US)
Article number	413912
Pages (from-to)	1026-1030
Number of pages	5
Journal	Proceedings - International Conference on Image Processing, ICIP
Volume	3
DOIs	https://doi.org/10.1109/ICIP.1994.413912
State	Published - 1994
Event	Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA Duration: Nov 13 1994 → Nov 16 1994

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

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10.1109/ICIP.1994.413912

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abstract = "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.",

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year = "1994",

doi = "10.1109/ICIP.1994.413912",

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journal = "Proceedings - International Conference on Image Processing, ICIP",

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AU - Huang, T. S.

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AB - 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.

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T2 - Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3)

Y2 - 13 November 1994 through 16 November 1994

ER -

Segmentation of road scenes using color and fractal-based texture classification

Abstract

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