Review 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 image-processing 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 study, various techniques are discussed and a new FPGA based spectral architecture is proposed to achieve a fast similarity measure between template and input image.

[1]  Yutaka Satoh,et al.  Using selective correlation coefficient for robust image registration , 2003, Pattern Recognit..

[2]  Fritz Albregtsen,et al.  Fast Computation of Three-Dimensional Geometric Moments Using a Discrete Divergence Theorem and a Generalization to Higher Dimensions , 1997, CVGIP Graph. Model. Image Process..

[3]  A. V. Cideciyan,et al.  Registration of ocular fundus images: an algorithm using cross-correlation of triple invariant image descriptors , 1995 .

[4]  Harvey F. Silverman,et al.  A Class of Algorithms for Fast Digital Image Registration , 1972, IEEE Transactions on Computers.

[5]  Jürgen Weese,et al.  A comparison of similarity measures for use in 2-D-3-D medical image registration , 1998, IEEE Transactions on Medical Imaging.

[6]  B. S. Manjunath,et al.  Registration Techniques for Multisensor Remotely Sensed Imagery , 1996 .

[7]  Gunilla Borgefors,et al.  On Digital Distance Transforms in Three Dimensions , 1996, Comput. Vis. Image Underst..

[8]  N. Hanaizumi,et al.  An automated method for registration of satellite remote sensing images , 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

[9]  B. N. Chatterji,et al.  An FFT-based technique for translation, rotation, and scale-invariant image registration , 1996, IEEE Trans. Image Process..

[10]  Guy Marchal,et al.  Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.

[11]  Walter G. Kropatsch,et al.  Expanding Irregular Graph Pyramid for an Approaching Object , 2009, CIARP.

[12]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[13]  P. E. Anuta,et al.  Spatial Registration of Multispectral and Multitemporal Digital Imagery Using Fast Fourier Transform Techniques , 1970 .

[14]  Josef Kittler,et al.  Pattern recognition : a statistical approach , 1982 .

[15]  Michel Defrise,et al.  Symmetric Phase-Only Matched Filtering of Fourier-Mellin Transforms for Image Registration and Recognition , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Kevin W. Bowyer,et al.  Empirical evaluation techniques in computer vision , 1998 .

[17]  Michel Dhome,et al.  Real Time Robust Template Matching , 2002, BMVC.