Biomedical Images Stitching using ORB Feature Based Approach

Kyi PyarWin, Y. Kitjaidure
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引用次数: 13

Abstract

This paper proposes a system for biomedical images stitching using feature based approach. The proposed system aims to stitch the high resolution images with low processing time. The proposed system is designed with five stages., preprocessing., features extraction., features matching., homography estimation and images stitching. In feature detection stage., ORB feature based approach is used. The proposed method is improved in term of performance and accuracy. The proposed method was compared with many different features detectors., Harris corner detector., SIFT and SURF techniques. According to the experiments., ORB method had the better results than the other feature based methods in the detection rate of the corrected keypoints and processing time.
基于ORB特征的生物医学图像拼接方法
提出了一种基于特征的生物医学图像拼接系统。该系统旨在以较低的处理时间实现高分辨率图像的拼接。该系统设计分为五个阶段。预处理。、特征提取。,特征匹配。、单应性估计和图像拼接。在特征检测阶段。,采用基于ORB特征的方法。该方法在性能和精度上得到了改进。将该方法与多种特征检测器进行了比较。哈里斯角探测器。、SIFT和SURF技术。根据实验。在校正关键点的检出率和处理时间上,ORB方法优于其他基于特征的方法。
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