CAJ | 학술논문

在医学图像处理中，边缘检测的准确性直接影响到疾病的诊断和治疗。针对传统边缘检测算法存在的方向性不强及检测边缘较粗的问题，提出了一种分区梯度的医学图像边缘检测算法。算法将5×5检测窗口按照中轴线和对角线划分为8个区域（4对对称区域），每对区域对应一个方向模板，通过模板分别与窗口图像进行卷积运算获得0°，45°，90°和135°方向的方向梯度，取最大值作为窗口中心点的梯度值。对梯度图像采用了改进的非极大值抑制方法进行细化，最后采用阈值法提取图像边缘。实验结果表明，该算法检测的医学血液细胞图像边缘方向性较强，边缘较细，检测效果明显优于传统Sobel算法。
재의학도상처리중，변연검측적준학성직접영향도질병적진단화치료。침대전통변연검측산법존재적방향성불강급검측변연교조적문제，제출료일충분구제도적의학도상변연검측산법。산법장5×5검측창구안조중축선화대각선화분위8개구역（4대대칭구역），매대구역대응일개방향모판，통과모판분별여창구도상진행권적운산획득0°，45°，90°화135°방향적방향제도，취최대치작위창구중심점적제도치。대제도도상채용료개진적비겁대치억제방법진행세화，최후채용역치법제취도상변연。실험결과표명，해산법검측적의학혈액세포도상변연방향성교강，변연교세，검측효과명현우우전통Sobel산법。
In medical image processing,the accuracy of edge detection affects the diagnosis and treatment of the disease di?rectly. Since the traditional edge detection algorithm has weak of direction and coarseness of detecting edge,the edge detection algorithm based on partition gradient for medical image is proposed. The proposed algorithm divides the 5×5 detection window in?to eight areas(four pairs of symmetric areas)according to the central axis and the diagonal,each pair of areas is corresponding to a direction template,the direction gradients of 0°,45°,90° and 135° are obtained by convolution operation of the templates with the window image respectively,it takes the maximum of these direction gradients as the gradient value of the window center point. The gradient image is refined by the improved non?maximum suppression method,the image edge is extracted by threshold method. Experimental results show that the image edge of medical blood cells has good direction which tested by the proposed al?gorithm,the detection effects are obviously superior to the traditional Sobel algorithm.