关键词: OCT图像, 眼前节组织, 自适应权重, 多结构, 边缘检测, 连通域, 特征角点

Abstract: An edge detection algorithm which is applied to anterior chamber OCT（Optical Coherence Tomography） images has been proposed. The algorithm uses multi-structure morphology elements to detect edges first, and then fuses these obtained multi-structure edge images by dynamic adaptive weight according to the edge pixel’s gray-scale value distinctiveness. The finally edge image is obtained after erasing some smaller interference areas, which are detected by counting the areas of connected domain in the fusion image. The pre-knowledge of positions of the corner points have been used to detect the feature corner points of the cornea. The simulated results have shown that the proposed algorithm can effectively avoid the occurrence of mutational pixels in the OCT image edge results, erased interference area; so more clear edges and high accuracy corner points of the cornea can be obtained compared to traditional edge detection algorithms.

Key words: Optical Coherence Tomography（OCT） image, anterior chamber, adaptive weighted fusion, multi-structure morphology elements, edge detection, connected domain, feature corner points