黄瓜彩色图像分割

Segmentation of Cucumber Color Images

提出一种基于彩色阈值变换的黄瓜果实识别算法:利用黄瓜果实与周围梗叶在R和G颜色分量深度上存在一定的差异,先通过R、G阈值变换将彩色图像二值化,然后进行腐蚀和膨胀操作消除背景中的枝叶,最后根据圆形度提取黄瓜。实验结果显示,该算法能够有效地将黄瓜从背景中提取出来。

A method for cucumber segmentation of color images was discussed. As there exist differences in the color-depth of R and G between cucumbers and leaves, a novel process was proposed as follows-Firstly, color images were transformed into binary images where white pixels denote for cucumbers and black ones for the background; secondly, noises were eliminated via the operations of corrosion and expansion; finally, cucumbers were extracted according to the circular degree. The experiment results show that this algorithm is capable of extracting cucumbers from the background effectively.