CAJ | 학술논문

针对煤和矸石灰度的不同，本文介绍了一种基于灰度的自适应边缘检测法，首先对图像进行灰度增强预处理，然后采用迭代算法求出图像分割的最佳阈值，结合形态学的腐蚀算法从而实现图像的精确边缘检测，并给出了仿真实例。与几种经典的边缘检测算子相比较，该算法效果最佳。
침대매화안석회도적불동，본문개소료일충기우회도적자괄응변연검측법，수선대도상진행회도증강예처리，연후채용질대산법구출도상분할적최가역치，결합형태학적부식산법종이실현도상적정학변연검측，병급출료방진실례。여궤충경전적변연검측산자상비교，해산법효과최가。
Based on the differences of coal and gangue in the gray differences, a adaptive edge detection method is introduced in this paper. Firstly, the image has a gray preprocessing of enhancement;then find out the best image segmentation threshold by using iterative algorithm, and so as to realize the precise image edge detection with combing the corrosion algorithm of morphology, also simulation illustration is provided. By comparing with seberal classical edge dectection operator, this algorithm has the best effect.