Template Matching Techniques in Computer Vision
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چکیده
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 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 کاملE cient Multiscale Template Matching with Orthogonal Wavelet Decompositions
I develop a method for e cient, multiscale template matching using orthogonal wavelet representations. I also develop an e cient approximate mechanism for initially nding the \correct" values for the basis coe cients ajk at the nest scale (as opposed to using the sample values as coe cients). I then present applications of these techniques to two important image coding/computer vision tasks: mo...
متن کاملReview Article: An Overview of Template Matching Technique in Image Processing
Template matching is one of the areas of profound interests in recent times. It has turned out to be a revolution in the field of computer vision. Template matching provides a new dimension into the imageprocessing capabilities, although there have been many attempts to resolve different issues in this field there have always been newer concepts emerging in this ever challenging field. In this ...
متن کاملFRoTeMa: Fast and Robust Template Matching
Template matching is one of the most basic techniques in computer vision, where the algorithm should search for a template image T in an image to analyze I. This paper considers the rotation, scale, brightness and contrast invariant grayscale template matching problem. The proposed algorithm uses a sufficient condition for distinguishing between candidate matching positions and other positions ...
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تاریخ انتشار 2008