Item Edges Matching in Different images with FAST Algorithm

Putra, Martin Septian Gunawan (2014) Item Edges Matching in Different images with FAST Algorithm. Other thesis, Prodi Teknik Informatika Unika Soegijapranata.

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Abstract

Image matching can be done many ways, histogram matching method can detect similarity through a comparison of color intensity histograms, pixel color matching method can be done by calculating the average of the entire pixel color value within the pixels of an image, feature based method where features within an image is used for comparison, there are several ways to extract features from an image, common techniques are color intensity, blob, edges, and corners. This project uses the feature based method with feature extraction in the form of corners, corners will be used to compare between images, so the matching of the same object between two different images can be achieved. The application is written in native Java without the use of external libraries.

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 005 Computer programming, programs & data
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mrs Rikarda Ratih
Date Deposited: 26 Aug 2015 01:13
Last Modified: 26 Aug 2015 01:13
URI: http://repository.unika.ac.id/id/eprint/148

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