Abstract:

The reference and comparison series were defined, and the relevant coefficients between them were calculated to every pixel, then the image’s edge detection were known from comparing the relevant coefficients with the threshold chosen. This algorithm could detect the continuous and effective edge and the image detail information for 256 grey-level images compared to traditional edge detection algorithms, and it also has better anti-noise ability for binary images added in noise.

Key words: stored pests; edge detection; grey theory