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Leaves contain important genetic information which can be used as a basis for the identification of plants. As a first step of modeling virtual three-dimensional plant, how to extract visual characteristic information form leaf images has great significance. We propose an optimized C-V model in this paper, which can detect objects in homogeneous regions of given leaf images and speed up running time. The new method combines local information with global information and optimizes the defect thatdoi:10.14257/ijunesst.2015.8.6.07 fatcat:spcbdje23ra6ta67sjvghvjipm