<%@ page language="java" contentType="text/html" %>
<%-- Include common initialisation code --%>
<%@ include file="/arch/common.jsp" %>
<%-- The current tab --%>
<% String currentTab = "Research"; %>
<%-- Content of navigation pane --%>
<%@ include file="nav.jsp" %>
<% showCurrentLink=true; %>
<%-- Current navigation location --%>
<% String currentNav = "Reports and Theses"; %>
<%-- Include the code for the document header --%>
<%@ include file="/arch/header.jsp" %>
Research Report CS-RR-358
<%-- Include the code for the lines and navigation --%>
<%@ include file="/arch/middle.jsp" %>
Hsing-Wen Roger Hseu, Abhir Bhalerao and R.G. Wilson,
Image Matching Based On The Co-occurrence Matrix
(May 30, 1999).
Abstract
In this work, the Gray Level Co-occurrence Matrices (GLCM) and
cross-correlation are compared in an image matching process. First,
three images are generated in different noise environments to simulate
the images being derived from different sensors. Then, a Laplacian
Pyramid is used as a high-pass filter. Finally, correlation of GLCM and
cross-correlation are compared. Mutual information(MI) of GLCM is also
included to evaluate the framework of the GLCM.
Download
cs-rr-358.ps.gz
<%-- Include the code for the document footer --%>
<%@ include file="/arch/footer.jsp" %>