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.