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Haralick, R.M., Shanmugam, K. and Denstein, I. (1973) Textural Features for Image Classification. IEEE Transactions on Systems, Man, and Cybernetics, SMC-3, 610-621.
https://doi.org/10.1109/TSMC.1973.4309314

has been cited by the following article:

• TITLE: Texture Filters and Fractal Dimension on Image Segmentation

  AUTHORS: Beatriz Marrón

  KEYWORDS: Textural Features, Co-Occurrence Matrix, Texture Spectrum, Texture Classification, Fractal Dimension

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.9 No.3, August 29, 2018

  ABSTRACT: Texture analysis is important in several image segmentation and classification problems. Different image textures manifest themselves by dissimilarity in both the property values and the spatial interrelationships of their component texture primitives. We use this fact in a texture discrimination system. This paper focuses on how to apply texture operators based on co-occurrence matrix, texture filters and fractal dimension to the problem of object recognition and image segmentation.