Morphological Image Segmentation Methods for Textures by Mosiganti Joseph Prakash
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Morphological Image Segmentation Methods for Textures

Morphological Image Segmentation Methods for Textures


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About the Book

Over the last few years, the use of automated machines has increased exponentially in the area of medical diagnosis, smoke detection and agricultural applications. Texture segmentation plays a major role in all these applications. Enormous and in depth research has taken place on image segmentation still there is a need to extract segmented regions precisely. That's why lot of research is going on image segmentation. Mathematical Morphology's geometry-oriented nature provides a well organized and capable structure for studying object shape properties such as connectivity, topology and size which cannot be simply retrieved by other approaches. The advantages of morphological treatment is region filling, boundary detection, noise filtering, thickening, skeletonizing, quantitative description of objects (projections, area, perimeter), object marking, shape simplification, thinning, convex hull, object segmentation from background. Based on this, morphological treatment is applied on the segmentation methods


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Product Details
  • ISBN-13: 9783659743986
  • Publisher: Lap Lambert Academic Publishing
  • Publisher Imprint: LAP LAMBERT Academic Publishing
  • Height: 229 mm
  • No of Pages: 100
  • Series Title: English
  • Weight: 209 gr
  • ISBN-10: 3659743984
  • Publisher Date: 16 Jun 2015
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 6 mm
  • Width: 152 mm


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