Image segmentation for stone-size inspection

Jui-Pin Hsu; Chiou-Shann Fuh

doi:10.1117/12.206698

21 April 1995 Image segmentation for stone-size inspection

Jui-Pin Hsu, Chiou-Shann Fuh

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206698
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

Object size inspection is an important task and has various applications in computer vision, for example, automatic control stone-breaking machines. In this paper, an algorithm is proposed for image segmentation on size inspection of almost round stones with strong textures or almost no textures. We use one camera and multiple light sources at difference positions to take one image when each of the light sources is on. Then we compute the image differences and threshold them to extract edges. We will explain, step by step, picture taking, edge extraction, noise removal, and edge gap filling. Experimental results will be presented. Through various experiments, we find our algorithm robust on various stones and under noise.

Citation Download Citation

Jui-Pin Hsu and Chiou-Shann Fuh "Image segmentation for stone-size inspection", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206698

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