A Review of Image Matching Techniques

During the past decade, three major categories of image matching algorithms have emerged: Signal-processing-based, artificial-intelligence-based, and a combination of these methods called hybrid techniques. This paper summarizes some of these techniques and their potential in remote sensing applications.

[1]  Albert Arcese,et al.  Image detection through bipolar correlation , 1970, IEEE Trans. Inf. Theory.

[2]  Azriel Rosenfeld,et al.  Scene analysis using region-based constraint filtering , 1984, Pattern Recognit..

[3]  Ikram E Abdou Quantitative Methods of Edge Detection , 1978 .

[4]  John M. Prager,et al.  Extracting and Labeling Boundary Segments in Natural Scenes , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Nils J. Nilsson,et al.  Problem-solving methods in artificial intelligence , 1971, McGraw-Hill computer science series.

[6]  J. A. Ratkovic,et al.  Almost Everything One Needs To Know About Image Matching Systems , 1980, Optics & Photonics.

[7]  Allen R. Hanson,et al.  Computer Vision Systems , 1978 .

[8]  Keith A. Lantz,et al.  Model-Driven Vision Using Procedure Description: Motivation And Application To Photointerpretation And Medical Diagnosis , 1979, Optics & Photonics.

[9]  J. F. Brenner,et al.  Two graph searching techniques for boundary finding in white blood cell images. , 1978, Computers in biology and medicine.

[10]  Steven W. Zucker,et al.  Region growing: Childhood and adolescence* , 1976 .

[11]  Thomas O. Binford,et al.  Interpretation Of Geometric Structure From Image Boundaries , 1981, Other Conferences.

[12]  Alberto Martelli,et al.  Edge detection using heuristic search methods , 1972, Comput. Graph. Image Process..

[13]  Manfred H. Hueckel A Local Visual Operator Which Recognizes Edges and Lines , 1973, JACM.

[14]  William K. Pratt,et al.  Correlation Techniques of Image Registration , 1974, IEEE Transactions on Aerospace and Electronic Systems.

[15]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[16]  K. E. Olin,et al.  Model-Based Scene Matching , 1980, Optics & Photonics.

[17]  K. E. Olin,et al.  A Context Dependent Automatic Target Recognition System , 1984, Other Conferences.

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

[19]  Ralph Bernstein,et al.  Digital Image Processing of Earth Observation Sensor Data , 1976, IBM J. Res. Dev..

[20]  S. S. Rifman,et al.  Experimental study of digital image processing techniques for LANDSAT data , 1976 .

[21]  B. J. Schachter A Survey and Evaluation of FLIR Target Detection/Segmentation Algorithms , 1982 .

[22]  Rodney A. Brooks,et al.  The ACRONYM Model-Based Vision System , 1979, IJCAI.

[23]  Richard O. Duda,et al.  Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.

[24]  Thomas K. Lo,et al.  Guidance System Position Update By Multiple Subarea Correlation , 1979, Other Conferences.

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

[26]  Manfred H. Hueckel An Operator Which Locates Edges in Digitized Pictures , 1971, J. ACM.

[27]  Alberto Martelli,et al.  An application of heuristic search methods to edge and contour detection , 1976, CACM.

[28]  R.S. Poulsen,et al.  Optimum Windows for Image Registration , 1981, IEEE Transactions on Aerospace and Electronic Systems.

[29]  Bayesteh G. Kashef,et al.  A Survey Of New Techniques For Image Registration And Mapping , 1984, Optics + Photonics.

[30]  Bruce L. Bullock,et al.  Model-Based Scene Matching , 1977 .

[31]  K. Ramesh Babu,et al.  Linear Feature Extraction and Description , 1979, IJCAI.

[32]  Dana H. Ballard,et al.  Generalizing the Hough transform to detect arbitrary shapes , 1981, Pattern Recognit..

[33]  Hampapuram K. Ramapriyan A Multilevel Approach to Sequential Detection of Pictorial Features , 1976, IEEE Transactions on Computers.

[34]  Hans P. Morevec Towards automatic visual obstacle avoidance , 1977, IJCAI 1977.

[35]  Azriel Rosenfeld,et al.  Digital Picture Processing , 1976 .

[36]  Laveen N. Kanal,et al.  Study of Digital Matching of Dissimilar Images. , 1980 .

[37]  K. W. Simon Digital Image Reconstruction and Resampling for Geometric Manipulation , 1975 .

[38]  C. D. Kuglin,et al.  Map-Matching Techniques For Use With Multispectral/Multitemporal Data , 1980, Optics & Photonics.

[39]  Azriel Rosenfeld,et al.  An Application of Relaxation Labeling to Line and Curve Enhancement , 1977, IEEE Transactions on Computers.

[40]  Laveen N. Kanal,et al.  Analysis and Simulation of Discrete Digital Image Matching. , 1981 .

[41]  Harvey F. Silverman,et al.  Digital techniques for earth resource image data processing , 1971 .

[42]  Dana H. Ballard,et al.  A Ladder-Structured Decision Tree for Recognizing Tumors in Chest Radiographs , 1976, IEEE Transactions on Computers.

[43]  J. W. Modestino,et al.  The contour extraction problem with biomedical applications , 1977 .

[44]  Azriel Rosenfeld,et al.  Picture Processing by Computer , 1969, CSUR.

[45]  Nils J. Nilsson,et al.  Principles of Artificial Intelligence , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[47]  Ralph. Deutsch,et al.  Estimation Theory , 1966 .