基于LAB颜色空间的植物病变区域提取

Extraction of Plant Leaf Lesions Based on LAB Color Space

为了有效准确的提取出植物病害区域图像,利用了植物病变区域的褪绿现象,提出了1种基于LAB颜色空间的植物叶片病斑提取方法。将原始图像由红绿蓝(RGB)颜色空间转换到LAB颜色空间,提取A分量作为参考,并结合K-means算法进行聚类分割。结果表明,基于LAB颜色空间的植物叶片病害区域提取方法是可行的。

In order to extract the image of the plant disease area effectively and accurately, a kind of plant leaf lesion extraction method based on Lab color space was proposed by using the chlorosis phenomenon in the plant lesion area. The original image is converted from the red, green and blue（RGB） color space to the Lab color space, the A component is extracted as a reference, and the K-means algorithm is used to cluster the segmentation. The results show that the method of regional extraction of plant leaf disease based on Lab color space is feasible.