Feature Extraction From Intensity Images

C. L. Huang; J. T. Tou

doi:10.1117/12.976492

13 October 1987 Feature Extraction From Intensity Images

C. L. Huang, J. T. Tou

Author Affiliations +

Proceedings Volume 0845, Visual Communications and Image Processing II; (1987) https://doi.org/10.1117/12.976492
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States

Abstract

This paper presents a new method to obtain the features from intensity images by making use of an improved Hough Transform. Through image preprocessing, the intensity image can be converted to a boundary image. A new approach is proposed to find the linear and elliptical features embedded in the boundary image on which there are discon-nectivities and the distortion that are caused either by occlusion or by noise. The Hough transform method is improved to recognize those features with less computation effort and more accuracy.

Citation Download Citation

C. L. Huang and J. T. Tou "Feature Extraction From Intensity Images", Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); https://doi.org/10.1117/12.976492

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