Image Segment Algorithm Based on Adaptive Image Preprocessing

Wo Yan; Han Guo-qiang; Zhang Jian-wei

doi:10.3724/SP.J.1146.2005.00641

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Wo Yan, Han Guo-qiang, Zhang Jian-wei. Image Segment Algorithm Based on Adaptive Image Preprocessing[J]. Journal of Electronics & Information Technology, 2007, 29(1): 87-91. doi: 10.3724/SP.J.1146.2005.00641

Citation:

Wo Yan, Han Guo-qiang, Zhang Jian-wei. Image Segment Algorithm Based on Adaptive Image Preprocessing[J]. Journal of Electronics & Information Technology, 2007, 29(1): 87-91. doi: 10.3724/SP.J.1146.2005.00641

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Image Segment Algorithm Based on Adaptive Image Preprocessing

doi: 10.3724/SP.J.1146.2005.00641 cstr: 32379.14.SP.J.1146.2005.00641

Received Date: 2005-06-06
Rev Recd Date: 2005-10-15
Publish Date: 2007-01-19

Abstract

Abstract

To avoid over segmentation produced by watershed segment algorithm, an image segment algorithm based on the adaptive preprocessing is proposed in this paper. This algorithm is based on the watershed transform. First the gradient image is preprocessed according to the pixels intensity and spatial information. After the points in the neighborhood of each image pixel are classified，their distribution situations are used to estimate the location of the image pixel, in the center or near the boundary of a region. Each pixels gradient magnitude is adaptive adjusted according to its location. Then the flat regions larger than 200 pixels in the preprocessed gradient magnitude image are extracted as markers. According to the markers, the preprocessed gradient magnitude image is segmented by the watershed transform. Experimental results indicate that this algorithm provides a good segmentation for segment-based image coding.

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References

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