Segmentation of Color Textures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Image Segmentation Using A Simple MRF Model with A New Implementation Scheme
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Image change detection algorithms: a systematic survey
IEEE Transactions on Image Processing
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This paper applies the multi-feature clustering analysis for SPOT5 color remote sensing images change detection based on image subtraction method and solves the problem of misjudge polygons. Subtraction chart is constructed by computing gray difference between pixels with a quite low threshold; Then, multi-feature-clustering-analysis is utilized to subtraction chart to delete misjudge polygons; Lastly, median filter and morphology algorithm are applied to remove noises caused by image registration and pixel-to-pixel-calculation. Experimental results on SPOT5 images are given to show the validity and advantages of the proposed approach.