Haralick Robert

Robert M. Haralick

Born September 30, 1943, in Brooklyn, United States. Public figure in computer vision and image processing.

Overview

• Renowned for foundational work in texture analysis and image understanding.
• Best known for the Haralick texture features, derived from gray-level co-occurrence matrices (GLCM).
• Coauthor of the landmark 1973 paper that introduced a suite of statistical texture descriptors used in image classification.

Key Contributions

• Haralick features: angular second moment (ASM), contrast, correlation, sum of squares, entropy, inverse difference moment (homogeneity), and more.
• GLCM-based texture analysis, providing a practical framework for quantifying texture in grayscale images.
• Influence across computer vision, remote sensing, medical imaging, and pattern recognition, where texture descriptors remain a staple tool.

Notable Publications

The most cited work is the 1973 paper: Haralick, R. M.; Shanmugam, K.; Dinstein, I. Textural Features for Image Classification. IEEE Transactions on Systems, Man, and Cybernetics, 3(6):610–621, 1973.

That paper introduced a methodological family of texture features derived from the gray-level co-occurrence matrix, which has shaped decades of research in image analysis.

Impact & Applications

Haralick features have become a standard set of descriptors in image analysis. They are widely used in: - Medical imaging (e.g., tissue characterization) - Remote sensing and satellite imagery - Industrial inspection and pattern recognition - Education and textbooks as foundational material for texture analysis

Education & Career

Public bios describe a long career in research and academia, with emphasis on teaching, mentoring, and contributions to the image analysis community. For precise institutional affiliations, dates, and career milestones, consult official university bios, conference proceedings, and archival records.

News & Social Media

Public social media presence is not widely advertised; scholarly communication about his work primarily appears in journals, conference papers, and academic databases. To explore current activity and discussions, consult Google Scholar, ResearchGate, ORCID, and institutional repositories.

Recent Projects

Public references indicate ongoing interest in texture analysis and its integration with modern pattern recognition and machine learning approaches. Recent work in the field focus on robust texture descriptors, multi-scale analysis, and applications to imaging modalities. For up-to-date project details, check institutional news pages and research portals.

Where to Find More

• Google Scholar profile for Robert M. Haralick
• IEEE Xplore publications
• Institutional bios and CVs (university and research center websites)