Contour Pick-Up and Registration of Infrared Images of Palm

Abstract

In this thesis an approach of Contour Pick-up and image registration is presented for infrared images of palm. Contour Pick-up is based on Gauss-Laplase kernel and image registration is implemented by their cross-correlation function. In order to use the temperature variety attained from the infrared images for diagnoses of metabolically diseases, man used to get the different time temperature of a certain area artificial point by point. It always wastes time and the data cannot be very accurate. This Thesis gives a method that avoids these disadvantages. First, the contour is picked up from the environment by using the convolution of Gauss-Laplase kernel. Then we filled inside the edge with darkness. Counting the max value of their cross-correlation function realize registration of the infrared images of palm. The results of experiment prove this method to be feasible.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410284

Entities

People

  • Guotai Jiang
  • Xiaowei Liu
  • Zhigang Shang

Organizations

  • Tongji University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Biological Sciences
  • Biology
  • Classification
  • Convolution
  • Cross Correlation
  • Digital Image Processing
  • Digital Images
  • Electronic Mail
  • Engineering
  • Image Processing
  • Image Registration
  • Images
  • Infrared Images
  • Medical Engineering
  • Power Spectra
  • Universities

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Mathematics or Statistics