Implementation of a normalized cross-correlation coefficient-based template matching algorithm in number system conversion

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Conference Proceeding

Source Title

HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management

Volume

2018-January

First Page

1

Last Page

4

Publication Date

7-2-2017

Abstract

In digital image processing, template matching is a technique used for finding or searching for areas of an image that could either match or be similar to the template image. In this study, an algorithm that utilizes both Python programming and the OpenCV library for template matching in number system conversion was successfully demonstrated. Images containing binary numbers were tested for template matching and converted to string. Then, these strings were converted to their respective decimal equivalents. It was found that OpenCV offers a tool that is easy to use for systems that require recognizing patterns of an image. Furthermore, it was observed that the ease of use is accompanied with various limitations such as dependence to pre-processing or having fixed scale, rotation, font, and background color. © 2017 IEEE. I

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Digitial Object Identifier (DOI)

10.1109/HNICEM.2017.8269520

Disciplines

Manufacturing | Mechanical Engineering

Keywords

Template matching (Digital image processing); Image processing; Computer vision

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