关键词: 肾小球, LOG滤波器, 三次样条, 小波变换, 遗传算法

Abstract: A glomerulus segmentation method based on searching fitting curve is proposed by considering complex characteristics of the kidney-tissue image, overcoming edge enhancement method’s shortcoming which resulted in extracted edge mass lack and thus glomerulus region can’t be extracted completely. Firstly, a LOG filter is applied to the low-resolution image, which corresponds to low frequency sub band after wavelet transformation, so that rough edge information can be obtained. After labeling to remove the noises and thinning, a genetic algorithm is used to search close flitting curve by constructed a parametric equation based on cubic spline interpolation formula. Secondly, more detailed edge information can be acquired through applying LOG filter to the original resolution image. Then an elaborate adjustment is performed to resist the influence caused by other tissue noises. Practice has shown the correctness and effectiveness of this method.

Key words: glomerulus, LOG filter, cubic spline, wavelet transformation, genetic algorithm