Digital Image Processing: Part II

por Huiyu Zhou;Jiahua Wu;Jianguo Zhang
Comentar :
( 24 )
92 pages
Idioma:
 English
This book (vol.1 and vol.2) introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency...
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Description
Content

This book (vol.1 and vol.2) introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency and spatial domain, restoration, colour processing, morphological operations, and segmentation. It aims to help the students, scientists, and practitioners to understand the concepts through illustrations and examples

Digital image processing is an important research area. The techniques developed in this area so far require to be summarized in an appropriate way. In this book, the fundamental theories of these techniques will be introduced. Particularly, their applications in the image enhancement are briefly summarized. The entire book consists of three chapters, which will be subsequently introduced.

Chapter 1 reveals the challenges in colour image processing in addition to potential solutions to individual problems. Chapter 2 summarises state of the art techniques for morphological process, and chapter 3 illustrates the established segmentation approach.

  1. Colour Image Processing
    1. Colour Fundamentals
    2. Colour Space
    3. Colour Image Processing
    4. Smoothing and sharpening
    5. Image segmentation
    6. Colour Image Compression
    7. Summary
    8. References
    9. Problems
  2. Morphological Image Processing
    1. Mathematical morphology
    2. Dilation and Erosion
    3. Opening and closing
    4. Hit-or-miss
    5. Thinning and thicken
    6. Skeleton
    7. Pruning
    8. Morphological reconstruction
    9. Summary
    10. References and further reading
    11. Problems
  3. Image Segmentation
    1. Introduction
    2. Image pre-processing – correcting image defects
    3. Thresholding
    4. Line and edge detection
    5. Segmentation using morphological watersheds
    6. Region-based segmentation
    7. Texture-based segmentation
    8. Segmentation by active contour
    9. Object-oriented image segmentation
    10. Colour image segmentation
    11. Summary
    12. References and further reading
    13. Problems