Abstract:

Firstly, the RGB model and the HIS model are introduced in this paper. The color fruit image under the  nature scene is segmented based on HUE and RG by using the threshold value gained according to Otsu's approach, and the results of segmentation are discussed. Secondly, the texture feature parameters to distinguish the fruit and the background are found by studying the texture differences between the fruit and the background using a gray level cooccurrence matrix. The color apple image with the similar background is segmented successfully. The experimental results show that the texture features and the color information help each other. The segmentation results are very good when the two methods are used in a green apple image including a complex background.

Key words: texture;gray level cooccurrence matrix;segmentation