Morphological approach for thresholding noisy images

C. K. Lee; Siu Pang Wong

doi:10.1117/12.206713

21 April 1995 Morphological approach for thresholding noisy images

C. K. Lee, Siu Pang Wong

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206713
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

Image segmentation is an important preprocessing step before object recognition. Here, we assume that an image consists of three main primitives, namely the noise, the object and the varying background. First we shall show a mean to characterize the sizes of these primitives based on the morphological opening. Second, we investigate how an image can be effectively enhanced by looking for blocks inscribed under the image surface and then removing the top of the noisy background and the bottom of the foreground, which is small speck noise, constructed from the surfaces of the inscribed blocks. With these findings, a morphological segmentation algorithm is thus formulated. Experimental results are included to illustrate its superiority over the other two segmentation algorithms.

Citation Download Citation

C. K. Lee and Siu Pang Wong "Morphological approach for thresholding noisy images", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206713

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