R. Haralick

Publications596
h-index65
Citations41,458
Highly Influential Citations2,363
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Textural Features for Image Classification
TLDR
This paper describes some easily computable textural features based on gray-tone spatial dependancies, and illustrates their application in category-identification tasks of three different kinds of image data: photomicrographs of five kinds of sandstones, 1:20 000 panchromatic aerial photographs of eight land-use categories, and Earth Resources Technology Satellite (ERTS) multispecial imagery. Expand
  • 17,699
  • 1619
Increasing Tree Search Efficiency for Constraint Satisfaction Problems
TLDR
We explore the number of tree search operations required to solve binary constraint satisfaction problems. Expand
  • 1,443
  • 86
  • PDF
Image Analysis Using Mathematical Morphology
TLDR
This paper reviews both binary morphology and gray scale morphology, covering the operations of dilation, erosion, opening, and closing and their relations. Expand
  • 2,346
  • 63
  • PDF
Statistical and structural approaches to texture
TLDR
In this survey we review the image processing literature on the various approaches and models investigators have used for texture based on more complex primitives than gray tone. Expand
  • 2,286
  • 44
Review and analysis of solutions of the three point perspective pose estimation problem
TLDR
The three point perspective pose estimation problems are reviewed from a unified perspective beginning with the first solution which was published in 1841 by a German mathematician, continuing through the solutions published in the German and then American photogrammetry literature, and most recently in the current computer vision literature. Expand
  • 562
  • 35
  • PDF
Image Segmentation Techniques
TLDR
We define each of the major classes of image segmentation techniques and describe several specific examples of each class of algorithm. Expand
  • 1,096
  • 29
Digital Step Edges from Zero Crossing of Second Directional Derivatives
  • R. Haralick
  • Mathematics, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1984
TLDR
We use the facet model to accomplish step edge detection, we define an edge to occur in a pixel if and only if there is some point in the pixel's area having a negatively sloped zero crossing of the second directional derivative. Expand
  • 902
  • 26
  • PDF
Digital Step Edges from Zero Crossing of Second Directional Derivatives
  • 320
  • 23
Pose estimation from corresponding point data
Solutions for four different pose estimation problems are presented. Closed-form least-squares solutions are given to the overconstrained 2D-2D and 3D-3D pose estimation problems. A globally… Expand
  • 728
  • 22
  • PDF
Textural features for image classification. IEEE Transaction on Systems, Man, and Cybernetics
  • 308
  • 22
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