An image segmentation algorithm for densely packed rock fragments of uneven illumination

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Abstract

Uneven illumination creates difficulty for image processing and segmentation in general. This paper shows that an algorithm technique involving image classification and valley-edge based fragment delineation is a highly efficient way of delineating densely packed rock fragments for the images of uneven illumination. The result shows that it is not affected much by fragment surface noise and image uneven illumination. It is robust for densely packed rock fragments. © Springer-Verlag Berlin Heidelberg 2006.

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APA

Wang, W. (2006). An image segmentation algorithm for densely packed rock fragments of uneven illumination. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4062 LNAI, pp. 665–670). Springer Verlag. https://doi.org/10.1007/11795131_97

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