Image Pattern Recognition-Based Morphological Structure and Applications

Image Pattern Recognition-Based Morphological Structure and Applications

Donggang Yu (Bioinformatics Applications Research Centre, James Cook University, Australia) and Tuan D. Pham (Bioinformatics Applications Research Centre, James Cook University, Australia)
Copyright: © 2008 |Pages: 48
DOI: 10.4018/978-1-59904-807-9.ch007
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

This chapter describes a new pattern recognition method: pattern recognition-based morphological structure. First, smooth following and linearization are introduced based on difference chain codes. Second, morphological structural points are described in terms of smooth followed contours and linearized lines, and then the patterns of morphological structural points and their properties are given. Morphological structural points are basic tools for pattern recognitionbased morphological structure. Furthermore, we discuss how the morphological structure can be used to recognize and classify images. One application is document image processing and recognition, analysis and recognition of broken handwritten digits. Another one is dynamic analysis and recognition of cell-cycle screening based on morphological structures. Finally, a conclusion is given, including advantages, disadvantages, and future research.

Complete Chapter List

Search this Book:
Reset