基于颜色模型和纹理特征的彩色水果图像分割方法

A Method of Color Fruit Image Segmentation Based on the Color Model and the Texture Feature

本文介绍了RGB和HIS两种颜色模型,采用色调值H和色差值R-G两个特征值,通过Otsu方法自动获取阈值对自然场景下彩色水果图像进行分割,并对实验结果进行了对比。然后,利用灰度共生矩阵分析了果实和背景的纹理特征,找到了区别果实和背景的纹理特征参数,对果实和背景颜色相似的图像进行分割。实验结果证明,纹理特征和颜色特征两者相辅相成,优势互补,对于包含复杂背景的青苹果图像分割效果比较好。

Firstly, the RGB model and the HIS model are introduced in this paper. I he 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.