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

A. C. She, T. S. Huang

Research output: Contribution to journalConference article

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 languageEnglish (US)
Article number413912
Pages (from-to)1026-1030
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume3
DOIs
StatePublished - Jan 1 1994
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

Fingerprint

Fractals
Textures
Color
Fractal dimension
Classifiers

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Segmentation of road scenes using color and fractal-based texture classification. / She, A. C.; Huang, T. S.

In: Proceedings - International Conference on Image Processing, ICIP, Vol. 3, 413912, 01.01.1994, p. 1026-1030.

Research output: Contribution to journalConference article

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