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  2008, Vol. 21 Issue (2): 193-198    DOI:
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Image Segmentation with Wavelet Transform Based on Spatial MultiResolution Analysis
WANG ZhenHua, CHEN Jie, DOU LiHua
School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081

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Abstract  A method based on spatial multiscale analysis is put forward. Firstly, an image is divided into subdomains with different sizes by analyzing the energy projection distribution on rows and columns of the image, and the sizes are adjusted adaptively according to both holistic and local features. Then, wavelet transform to each subimage is adopted and the statistics which reflect the local features are extracted. Finally, an improved fuzzy cmeans (FCM) method is adopted to cluster the eigenvectors, thus the image segmentation is realized. Experimental results have proved that the proposed method can speed up operation as well as improve the segmentation results.
Key wordsWavelet Transform      Spatial MultiScale Analysis      Improved Fuzzy cMeans Algorithm      Image Segmentation     
Received: 18 December 2006     
ZTFLH: TP391.41  
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WANG ZhenHua
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WANG ZhenHua,CHEN Jie,DOU LiHua. Image Segmentation with Wavelet Transform Based on Spatial MultiResolution Analysis[J]. , 2008, 21(2): 193-198.
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