Literature DB >> 21869085

Segmentation by texture using correlation.

P C Chen1, T Pavlidis.   

Abstract

The correlation coefficients are used for segmentation according to texture. They are first evaluated on a set of square regions forming two levels of the quadratic picture tree (or pyramid). If the coefficients of a square and its four children in the tree are similar, then that region is considered to be of uniform texture. If not, it is replaced by its children. In this way, the split-and-merge algorithm is used to achieve a preliminary segmentation. It is followed by a grouping algorithm using the correlation coefficients and the region adjacency graph, plus a small region elimination step. The latter regions are grouped according to their gray level because texture cannot be defined reliably on very small regions. Examples of implementation on four pictures are included.

Entities:  

Year:  1983        PMID: 21869085     DOI: 10.1109/tpami.1983.4767346

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  2 in total

1.  Automatic localization of anatomical point landmarks for brain image processing algorithms.

Authors:  Scott C Neu; Arthur W Toga
Journal:  Neuroinformatics       Date:  2008-05-30

2.  Comparison of various texture classification methods using multiresolution analysis and linear regression modelling.

Authors:  S Dhanya; V S Kumari Roshni
Journal:  Springerplus       Date:  2016-01-20
  2 in total

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