Image segmentation algorithm based on wavelet transformation and watershed

Jiangfeng Ma; Hang Bai; Jiwei Feng; Hongzhi Fan

doi:10.1117/12.2245105

29 August 2016 Image segmentation algorithm based on wavelet transformation and watershed

Jiangfeng Ma, Hang Bai, Jiwei Feng, Hongzhi Fan

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100331L (2016) https://doi.org/10.1117/12.2245105
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

In order to conquer the problems of time consumption, over segmentation and over merger existing in watershed segmentation and merger algorithm, a watershed algorithm in wavelet filed has been proposed in this paper. In the algorithm, the original image is decomposed into lower resolution ratio by wavelet transformation so as to reduce the processing data and enhance the speed of algorithm. Because over segmentation problem originates from small fluctuation or noise, a simple and effective technique for selecting optimal threshold is designed. Moreover, on purpose of avoiding the loss of edge information, a merging strategy based on edge information is introduced in the region merging. The experimental results show that the processed images obtained by our algorithm succeed in avoiding the over segmentation and over merger of watershed algorithm, and its calculating efficiency is also enhanced to some extent.

Citation Download Citation

Jiangfeng Ma, Hang Bai, Jiwei Feng, and Hongzhi Fan "Image segmentation algorithm based on wavelet transformation and watershed", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100331L (29 August 2016); https://doi.org/10.1117/12.2245105

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