Optical coherence tomography image processing method

Abstract

The present invention discloses an optical coherence tomography image processing method, comprising the following steps: step 1: collecting anterior segment tomography images by means of an optical coherence tomography technology, to obtain an anterior segment black-and-white image; step 2: performing pseudo-coloring processing and color space conversion on the anterior segment black-and-white image and performing superposed threshold binarization, to differentiate cornea, iris and crystalline lens potential areas, and then obtaining cornea, iris and crystalline lens areas separately by means of blob shape analyses; step 3: performing, by means of tectonics operations, spot filling and collapse processing on the cornea, iris and crystalline lens areas obtained in step 2; and step 4: performing boundary tracing on the image by means of a level set algorithm, to precisely trace surface boundaries of all parts of an anterior segment and find the anterior segment. According to the present invention, the bottleneck of a low speed resulted from applying the level set algorithm to the whole image is overcome, real-time extraction and analysis of features of the anterior segment tomography image are implemented, and reliable basic data is provided for subsequent obtaining of anterior segment clinical parameters.

Dependencies are inferred from the claim text.