2016 - IAPR King-Sun Fu Prize For contributions in image analysis including remote sensing, texture analysis, mathematical morphology, consistent labeling, and system performance evaluation.
1994 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision, image processing, and mathematical morphology and service to the IAPR
1984 - IEEE Fellow For contributions in image processing and computer vision
Robert M. Haralick spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Image processing and Algorithm. His Computer vision research includes themes of Training set and Position. His Pattern recognition research is multidisciplinary, relying on both Histogram and Feature.
The concepts of his Pattern recognition study are interwoven with issues in Document layout analysis, Satellite imagery, Texton, Texture Descriptor and Test data. His work on Co-occurrence matrix as part of general Image texture study is frequently linked to Structural element, therefore connecting diverse disciplines of science. The various areas that Robert M. Haralick examines in his Contextual image classification study include Image resolution, Panchromatic film, Aerial photography, Texture filtering and Test set.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Pixel. His study involves Image processing, Edge detection, Image, Image segmentation and Pattern recognition, a branch of Artificial intelligence. His Computer vision study frequently intersects with other fields, such as Set.
His Algorithm study combines topics in areas such as Structuring element, Binary image, Mathematical optimization and Binary number. His study in Pattern recognition is interdisciplinary in nature, drawing from both Data mining and Cluster analysis. Pixel and Ground truth are frequently intertwined in his study.
Artificial intelligence, Pattern recognition, Algorithm, Cluster analysis and Computer vision are his primary areas of study. Robert M. Haralick works mostly in the field of Artificial intelligence, limiting it down to concerns involving Natural language processing and, occasionally, Probabilistic logic. He interconnects Contextual image classification, Data mining and Image retrieval in the investigation of issues within Pattern recognition.
His Algorithm research integrates issues from Histogram, Estimator, Mathematical optimization and Entropy. Within one scientific family, Robert M. Haralick focuses on topics pertaining to Projection pursuit under Cluster analysis, and may sometimes address concerns connected to Matching pursuit. His work on Photogrammetry and Shape regression as part of general Computer vision study is frequently connected to End systole and End diastole, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His main research concerns Artificial intelligence, Pattern recognition, Algorithm, Data mining and Edge detection. His studies deal with areas such as Estimator and Computer vision as well as Artificial intelligence. His biological study spans a wide range of topics, including Image noise, Constant false alarm rate and Image retrieval.
His Algorithm study integrates concerns from other disciplines, such as Clustering high-dimensional data, Cluster analysis, Thresholding, Ground truth and Real image. His research on Data mining also deals with topics like
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Textural Features for Image Classification
Robert M. Haralick;K. Shanmugam;Its'Hak Dinstein.
systems man and cybernetics (1973)
Statistical and structural approaches to texture
Proceedings of the IEEE (1979)
Image Segmentation Techniques
Robert M. Haralick;Linda G. Shapiro.
Graphical Models /graphical Models and Image Processing /computer Vision, Graphics, and Image Processing (1984)
Image Analysis Using Mathematical Morphology
Robert M. Haralick;Stanley R. Sternberg;Xinhua Zhuang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1987)
Increasing tree search efficiency for constraint satisfaction problems
Robert M. Haralick;Gordon L. Elliott.
Artificial Intelligence (1980)
Digital Step Edges from Zero Crossing of Second Directional Derivatives
Robert M. Haralick.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1984)
Pose estimation from corresponding point data
R.M. Haralick;H. Joo;C. Lee;X. Zhuang.
systems man and cybernetics (1989)
Structural Descriptions and Inexact Matching
Linda G. Shapiro;Robert M. Haralick.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1981)
Review and analysis of solutions of the three point perspective pose estimation problem
Robert M. Haralick;Chung-Nan Lee;Karsten Ottenberg;Michael Nölle.
International Journal of Computer Vision (1994)
Feature normalization and likelihood-based similarity measures for image retrieval
Selim Aksoy;Robert M. Haralick.
Pattern Recognition Letters (2001)
Profile was last updated on December 6th, 2021.
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