A new algorithm of wire-like noise removal for colored rice kernel images
Qiong Liu, Shiyin Qin · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
In order to detect the rice kernels from color rice images precisely, it is necessary to remove noises from the original images very well by effective denoising methods. This paper proposes a new algorithm of wirelike noise removal according to its characteristics in rice kernel images based on the color space transform and mathematic morphology. The color space transform is conducted and then a simple structure element is employed as a filter to remove wirelike noise. In this way, the computation complexity in noise removal is reduced a lot while keeping detailed textural information well and improving the quality of images. Experiment results demonstrate the effectiveness of the algorithm.