H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 70 Citations 62,062 364 World Ranking 847 National Ranking 509

Research.com Recognitions

Awards & Achievements

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • 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 most cited work include:

  • Textural Features for Image Classification (15288 citations)
  • Statistical and structural approaches to texture (4620 citations)
  • Image Analysis Using Mathematical Morphology (2070 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Artificial intelligence (59.24%)
  • Computer vision (31.93%)
  • Algorithm (22.69%)

What were the highlights of his more recent work (between 1999-2021)?

  • Artificial intelligence (59.24%)
  • Pattern recognition (21.22%)
  • Algorithm (22.69%)

In recent papers he was focusing on the following fields of 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.

Between 1999 and 2021, his most popular works were:

  • Feature normalization and likelihood-based similarity measures for image retrieval (324 citations)
  • A statistical, nonparametric methodology for document degradation model validation (100 citations)
  • Greedy Algorithm for Error Correction in Automatically Produced Boundaries from Low Contrast Ventriculograms (74 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Algorithm

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

  • Document layout analysis which intersects with area such as Table and Pattern recognition,
  • Test data which is related to area like Computation, Optimization problem, Probability measure and Iterative method. His Edge detection research includes themes of Assignment problem and Pixel.

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.

Top Publications

Textural Features for Image Classification

Robert M. Haralick;K. Shanmugam;Its'Hak Dinstein.
systems man and cybernetics (1973)

24899 Citations

Statistical and structural approaches to texture

R.M. Haralick.
Proceedings of the IEEE (1979)

7710 Citations

Image Segmentation Techniques

Robert M. Haralick;Linda G. Shapiro.
Graphical Models /graphical Models and Image Processing /computer Vision, Graphics, and Image Processing (1984)

3645 Citations

Image Analysis Using Mathematical Morphology

Robert M. Haralick;Stanley R. Sternberg;Xinhua Zhuang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1987)

3322 Citations

Increasing tree search efficiency for constraint satisfaction problems

Robert M. Haralick;Gordon L. Elliott.
Artificial Intelligence (1980)

1929 Citations

Digital Step Edges from Zero Crossing of Second Directional Derivatives

Robert M. Haralick.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1984)

1667 Citations

Pose estimation from corresponding point data

R.M. Haralick;H. Joo;C. Lee;X. Zhuang.
systems man and cybernetics (1989)

916 Citations

Structural Descriptions and Inexact Matching

Linda G. Shapiro;Robert M. Haralick.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1981)

840 Citations

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)

777 Citations

Feature normalization and likelihood-based similarity measures for image retrieval

Selim Aksoy;Robert M. Haralick.
Pattern Recognition Letters (2001)

543 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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