Morphological approach for template matching

In this work, a morphological representation of a template matching algorithm for gray-scale images is presented. The algorithm is the composition of the so-called template matching operator with the maximum gray-level location operator, which can be both expressed in terms of the following classes of mathematical morphology elementary operators: dilations, erosions and anti-dilations. Moreover, the algorithm is applied to remote sensing images.

[1]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[2]  Xiaobo Li,et al.  The First Stage in Two-Stage Template Matching , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  C. Ronse,et al.  A Lattice-Theoretical Morphological View on Template Extraction in Images , 1996, J. Vis. Commun. Image Represent..

[4]  G. Banon,et al.  Minimal representations for translation-invariant set mappings by mathematical morphology , 1991 .

[5]  Dr. Marsha Jo Hannah,et al.  Digital Stereo Image Matching Techniques , .

[6]  A. Ardeshir Goshtasby,et al.  Template Matching in Rotated Images , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  D. Luenberger Optimization by Vector Space Methods , 1968 .

[8]  Petros Maragos,et al.  Optimal Morphological Approaches To Image Matching And Object Detection , 1988, [1988 Proceedings] Second International Conference on Computer Vision.

[9]  Jan Flusser,et al.  A moment-based approach to registration of images with affine geometric distortion , 1994, IEEE Trans. Geosci. Remote. Sens..

[10]  Robert M. Haralick,et al.  Structural Descriptions and Inexact Matching , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Mikio Takagi,et al.  Digital Processing of Remotely Sensed Imagery , 1975 .

[12]  Junior Barrera,et al.  Decomposition of mappings between complete lattices by mathematical morphology, Part I. General lattices , 1993, Signal Process..

[13]  Henk J. A. M. Heijmans,et al.  The algebraic basis of mathematical morphology. I Dilations and erosions , 1990, Comput. Vis. Graph. Image Process..

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

[15]  Raimondo Schettini,et al.  Image registration by recognition of corresponding structures , 1990 .

[16]  Ramakant Nevatia,et al.  Matching Images Using Linear Features , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  Ronald W. Schafer,et al.  Template matching based on a grayscale hit-or-miss transform , 1996, IEEE Trans. Image Process..