Multiple object image segmentation algorithm based on wavelet theory

W. Wang; Z. Wang

doi:10.1117/12.827433

17 June 2009 Multiple object image segmentation algorithm based on wavelet theory

W. Wang, Z. Wang

Proceedings Volume 7389, Optical Measurement Systems for Industrial Inspection VI; 73892R (2009) https://doi.org/10.1117/12.827433
Event: SPIE Europe Optical Metrology, 2009, Munich, Germany

Abstract

The colony characteristics are used for evaluating the quality of water and food. Auto-detecting colony in an image is a hard task. This paper proposes a new multi-scale segmentation technique based on wavelet decompositions and watersheds. Firstly, we dispose the tiny colonies by using a wavelet domain median filter. Secondly, wavelet transform is used to create multi-resolution images. Then watershed segmentation algorithm is applied to segment the lowestresolution image and obtain the initial watershed segmentation result. Finally, we do segmentation on the high-resolution image based on the low-resolution image. Experiments results show that the colony images can be well segmented by using the new algorithm.

Citation Download Citation

W. Wang and Z. Wang "Multiple object image segmentation algorithm based on wavelet theory", Proc. SPIE 7389, Optical Measurement Systems for Industrial Inspection VI, 73892R (17 June 2009); https://doi.org/10.1117/12.827433

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