A color image merging algorithm using MATLAB

Eric Boyer, Aldo W. Morales

Research output: Contribution to journalConference article

Abstract

Students in the Electrical Engineering program at Penn State Harrisburg have many opportunities to apply their acquired knowledge through hands-on course projects and laboratory experiences in electronics, digital and image processing, VLSI, power and other courses, in addition to their capstone senior project. This paper presents an example of an image processing course project in which an efficient algorithm to merge color images is developed using MATLAB. The algorithm's efficiency is based on the fact that only one color plane is used to detect similarities between images before the merging is accomplished. Results show that the proposed method performs well with sample images obtained from the Internet.

Original languageEnglish (US)
JournalASEE Annual Conference and Exposition, Conference Proceedings
StatePublished - Jan 1 2008

Fingerprint

Merging
MATLAB
Image processing
Color
Electrical engineering
Digital signal processing
Electronic equipment
Internet
Students

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

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A color image merging algorithm using MATLAB. / Boyer, Eric; Morales, Aldo W.

In: ASEE Annual Conference and Exposition, Conference Proceedings, 01.01.2008.

Research output: Contribution to journalConference article

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AB - Students in the Electrical Engineering program at Penn State Harrisburg have many opportunities to apply their acquired knowledge through hands-on course projects and laboratory experiences in electronics, digital and image processing, VLSI, power and other courses, in addition to their capstone senior project. This paper presents an example of an image processing course project in which an efficient algorithm to merge color images is developed using MATLAB. The algorithm's efficiency is based on the fact that only one color plane is used to detect similarities between images before the merging is accomplished. Results show that the proposed method performs well with sample images obtained from the Internet.

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