Two Image-Template Operations for Binary Image Processing

Authors:
Hongchi Shi
Affiliations:
Department of Computer Engineering and Computer Science, Engineering Building West, Room 331, University of Missouri—Columbia, Columbia, MO 65211. E-mail: shi@ece.missouri.edu
Venue:
Journal of Mathematical Imaging and Vision
Year:
1997

Citing 6
Cited 1

Introduction to mathematical morphology

Computer Vision, Graphics, and Image Processing
Image Analysis Using Mathematical Morphology

IEEE Transactions on Pattern Analysis and Machine Intelligence
Image algebra: an overview

Computer Vision, Graphics, and Image Processing
On shrinking binary picture patterns

Communications of the ACM
Computer and Robot Vision

Computer and Robot Vision
Handbook of Computer Vision Algorithms in Image Algebra

Handbook of Computer Vision Algorithms in Image Algebra

Fast Computation of Variant Templates for Parallel Image Processing

Journal of Mathematical Imaging and Vision

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents two new image algebra image-template operationsmatch and mismatch derived fromthe general image-template product. These image algebra operationsextend the binary morphological erosion and dilation operations andcan be used to express elegantly most of binary image processingalgorithms in a more natural way than binary morphological operationsfrom the image processing viewpoint. In addition, the match andmismatch operations are easy to implement efficiently on SIMDbit-serial parallel computers.