Segmentation and replenishment of the target leaves in complex background

In order to furtherly improve the operation efficiency and accuracy of the segmentation algorithm of target leaves in complex background，fuzzy C-cluster algorithm was adopted to improve the operation efficiency of the segmentation on the basis of the extra-green algorithm，and the convex hull filling method was used to improve the accuracy of the segmentation. First of all，the non-green part of the complex background was removed by using the extra-green algorithm. The green background which was largely different from the color of the target leaves was removed by using fuzzy C-cluster algorithm. While for the green background with smaller color difference，the edge information of the target leaves was obtained by using bottom- hat transformation，and then the area was removed by corrosion and the comparison of the connected regions. The edge gap of the target leaves was replenished to improve the segmentation accuracy by convex hull filling，reducing the rate of error rates. In addition，the operation efficiency of segmentation could be increased by extra-green algorithm combined with fuzzy C-cluster algorithm. The experimental results showed that the rate of error rate was by an average of 1.05%，and compared with the original algorithm，the segmentation efficiency was increased by 13.82% averagely.