Color Image Registration and Template Matching Using Quaternion Phase Correlation
نویسنده
چکیده
Due to mathematical limitations, conventional phase correlation technique can only be applied to grayscale images or at most complex images. A full colour image must be first converted to a grayscale image before performing the phase correlation, during which the luminance information has been wasted. In this paper, an extension of the phase correlation technique to the quaternion field , based on quaternion Fourier transforms, is proposed. This new technique called quaternion phase correlation(QPC) can make full use of the luminance as well as the chrominance information in colour images.The effectiveness of the proposed quaternion phase correlation for colour images is demonstrated through its applications in colour template matching and colour image registration .
منابع مشابه
Evaluation of Similarity Measures for Template Matching
Image matching is a critical process in various photogrammetry, computer vision and remote sensing applications such as image registration, 3D model reconstruction, change detection, image fusion, pattern recognition, autonomous navigation, and digital elevation model (DEM) generation and orientation. The primary goal of the image matching process is to establish the correspondence between two ...
متن کاملHypercomplex Auto-And-Cross-Correlation of Color Images
Autocorrelation and cross-correlation have been defined and utilized in signal and image processing for many years, but not for color or vector images. In this poster we present for the first time a definition of correlation applicable to color images, based on quaternions or hypercomplex numbers. We have devised a visualization of the result using the polar form of a quaternion in which color ...
متن کاملAccelerated Template Matching Using Local Statistics and Fourier Transforms
This paper presents a method to accelerate correlation-based image template matching using local statistics that are computed by Fourier transform cross correlation. This approach is applicable to several different metrics. The concept is based upon equivalent spatial and frequency domain principles. Each metric is computed completely in the frequency domain using Discrete Fourier Transforms. T...
متن کاملTemplate Matching Advances and Applications in Image Analysis
In most computer vision and image analysis problems, it is necessary to define a similarity measure between two or more different objects or images. Template matching is a classic and fundamental method used to score similarities between objects using certain mathematical algorithms. In this paper, we reviewed the basic concept of matching, as well as advances in template matching and applicati...
متن کاملA New RSTB Invariant Image Template Matching Based on Log-Spectrum and Modified ICA
Template matching is a widely used technique in many of image processing and machine vision applications. In this paper we propose a new as well as a fast and reliable template matching algorithm which is invariant to Rotation, Scale, Translation and Brightness (RSTB) changes. For this purpose, we adopt the idea of ring projection transform (RPT) of image. In the proposed algorithm, two novel s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010