Shape-Based Object Search in Images Using Edge Detection Algorithm

Alvino, Peter (2012) Shape-Based Object Search in Images Using Edge Detection Algorithm. Other thesis, Fakultas Ilmu Komputer Unika Soegijapranata.

[img] Text (COVER)
08.02.0061 Peter Alvino COVER.pdf
Download (165kB)
[img] Text (BAB I)
08.02.0061 Peter Alvino BAB I.pdf
Restricted to Registered users only
Download (121kB)
[img] Text (BAB II available document only in library of Soegijapranata Catholic University)
08.02.0061 Peter Alvino BAB II.pdf
Restricted to Repository staff only
Download (520kB)
[img] Text (BAB III available document only in library of Soegijapranata Catholic University)
08.02.0061 Peter Alvino BAB III.pdf
Restricted to Repository staff only
Download (57kB)
[img] Text (BAB IV available document only in library of Soegijapranata Catholic University)
08.02.0061 Peter Alvino BAB IV.pdf
Restricted to Repository staff only
Download (275kB)
[img] Text (BAB V available document only in library of Soegijapranata Catholic University)
08.02.0061 Peter Alvino BAB V.pdf
Restricted to Repository staff only
Download (1MB)
[img] Text (BAB VI)
08.02.0061 Peter Alvino BAB VI.pdf
Restricted to Registered users only
Download (47kB)
[img] Text (DAFTAR PUSTAKA)
08.02.0061 Peter Alvino DAFTAR PUSTAKA.pdf
Download (93kB)

Abstract

A human being can differentiate between various objects by observing their shape, color, texture, and features. To impart this intelligence into a system, we need to implement techniques like edges detection to help the system in recognizing the shapes of objects. The result of edge detection is an image of the edge with a thickness of one response / pixel. Ideally, the edge detection process will describe the geometric shape of an object and identify the lines that form the objects.

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 004 Data processing & computer science
Divisions: Faculty of Computer Science
Depositing User: Mr Ign. Setya Dwiana
Date Deposited: 16 Mar 2016 09:46
Last Modified: 16 Mar 2016 09:46
URI: http://repository.unika.ac.id/id/eprint/8045

Actions (login required)

View Item View Item
Unika Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.