文章基本信息

标题：Optimized Image Mosaicing with Moment Invariants and SIFT Features
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作者：Vikram Agrawal ; Dilipsinh Bheda
期刊名称：Oriental Journal of Computer Science and Technology
印刷版ISSN：0974-6471
出版年度：2017
卷号：10
期号：1
页码：66-75
语种：English
出版社：Oriental Scientific Publishing Company
摘要：In the field of Image mosaicing, much research has been done to fulfil the two major challenges, time complexity and quality improvement. Proposed method is a pre-processing step before actual image stitching carried out. The method aims to find out the overlapping regions in two images. Thus features can be extracted from these overlapping regions and not from the whole images, which result into reduction of computation time. For detecting overlapping portion, gradient based edge extraction method and invariant moments are used. In the deduced region, SIFT features are extraction to determine the matching features. The registration process carried out by RANSAC algorithm and final output mosaic will obtained by warping the images. An optimized approach to calculate the moment difference values is presented to improve time efficiency and quality.
关键词：Image registration ; Edge detection ; Moment invariants ; Feature extraction ; Image mosaicing ; SIFT ; RANSAC