The Sub-pixel Edge Detection Based on Improved Zernike Moment for Brain CT Image

Abstract

The medical imaging is the fastest growing subject in the field of clinical medicine. It runs through the whole process of clinical medicine. This paper chooses the edge feature of brain CT image. The classical operator of pixel level edge feature extractions were compared with the Zernike moments sub-pixel level edge feature extraction. And then the edge detection of improved Zernike moments for sub-pixel level has been put forward, with high accuracy and fast speed. This algorithm is very suitable for medical imaging equipment.