Leaf Lesion Detection Method Using Artificial Bee Colony Algorithm

摘要

Lesions in images can be detected using several edge detection methods such as Canny, Sobel, Roberts and Prewitt. However, all of these methods are time consuming in detecting lesions. The reason being each of the pixels is serially searched from top to bottom and from left to right in the image. In addition, a lesion can only be detected when all pixels have been completely searched. The methods are inefficient as some of pixels, usually at the edge of a lesion fail to be detected. This paper presents experimental results on an algorithm that was developed using Artificial Bee Colony (ABC). Results showed that ABC produced better percentage of correctness and detection time than Canny, Sobel, Roberts and Prewitt.