COMPARISON EDGES DETECTION USING TWO MATRIX
| ctrlnum |
16912 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://repository.unika.ac.id/16912/</relation><title>COMPARISON EDGES DETECTION USING TWO MATRIX</title><creator>SUGIARTO, BAMBANG CAHYO</creator><subject>621 Electrical engineering</subject><description>In the digital image, there are many different ways of image processing. And one of the
i J1: ~reSI one that is Edges Detection. Is tool in image processing particularly in the areas of feature
detcction and feature extraction, which aim at identifying points in a digital image at which the
illlage brightness changes sharply. Edges detections are generaJly used to separate object with
background, so that more objects can be easier to process. In the Edges detections, there are several
e,lsting methods, namely Sobel, Canny, Prewitt, Roberts, and Frei-Chen.
Operator Sobel is based on convolving the image with a small, separable, and integer valued
tilter in horizontal and vertical direction and is therefore relatively inexpensive in term of
I.;' lmputations. The gradient approximation that it produces is relatively crude, in particular for hight
r'equcncy variations in the image.</description><date>2013</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/16912/1/09.02.0021%20Bambang%20Cahyo%20S%20-%20COVER.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/16912/2/09.02.0021%20Bambang%20Cahyo%20S%20-%20CHAPTER%201.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/16912/3/09.02.0021%20Bambang%20Cahyo%20S%20-%20CHAPTER%202.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/16912/4/09.02.0021%20Bambang%20Cahyo%20S%20-%20CHAPTER%203.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/16912/5/09.02.0021%20Bambang%20Cahyo%20S%20-%20CHAPTER%204.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/16912/6/09.02.0021%20Bambang%20Cahyo%20S%20-%20CHAPTER%205.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/16912/7/09.02.0021%20Bambang%20Cahyo%20S%20-%20CHAPTER%206.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unika.ac.id/16912/8/09.02.0021%20Bambang%20Cahyo%20S%20-%20REFERENCES.pdf</identifier><identifier> SUGIARTO, BAMBANG CAHYO (2013) COMPARISON EDGES DETECTION USING TWO MATRIX. Other thesis, Unika Soegijapranata Semarang. </identifier><recordID>16912</recordID></dc>
|
| language |
eng |
| format |
Thesis:Thesis Thesis PeerReview:NonPeerReviewed PeerReview Book:Book Book |
| author |
SUGIARTO, BAMBANG CAHYO |
| title |
COMPARISON EDGES DETECTION USING TWO MATRIX |
| publishDate |
2013 |
| topic |
621 Electrical engineering |
| url |
http://repository.unika.ac.id/16912/1/09.02.0021%20Bambang%20Cahyo%20S%20-%20COVER.pdf http://repository.unika.ac.id/16912/2/09.02.0021%20Bambang%20Cahyo%20S%20-%20CHAPTER%201.pdf http://repository.unika.ac.id/16912/3/09.02.0021%20Bambang%20Cahyo%20S%20-%20CHAPTER%202.pdf http://repository.unika.ac.id/16912/4/09.02.0021%20Bambang%20Cahyo%20S%20-%20CHAPTER%203.pdf http://repository.unika.ac.id/16912/5/09.02.0021%20Bambang%20Cahyo%20S%20-%20CHAPTER%204.pdf http://repository.unika.ac.id/16912/6/09.02.0021%20Bambang%20Cahyo%20S%20-%20CHAPTER%205.pdf http://repository.unika.ac.id/16912/7/09.02.0021%20Bambang%20Cahyo%20S%20-%20CHAPTER%206.pdf http://repository.unika.ac.id/16912/8/09.02.0021%20Bambang%20Cahyo%20S%20-%20REFERENCES.pdf http://repository.unika.ac.id/16912/ |
| contents |
In the digital image, there are many different ways of image processing. And one of the
i J1: ~reSI one that is Edges Detection. Is tool in image processing particularly in the areas of feature
detcction and feature extraction, which aim at identifying points in a digital image at which the
illlage brightness changes sharply. Edges detections are generaJly used to separate object with
background, so that more objects can be easier to process. In the Edges detections, there are several
e,lsting methods, namely Sobel, Canny, Prewitt, Roberts, and Frei-Chen.
Operator Sobel is based on convolving the image with a small, separable, and integer valued
tilter in horizontal and vertical direction and is therefore relatively inexpensive in term of
I.;' lmputations. The gradient approximation that it produces is relatively crude, in particular for hight
r'equcncy variations in the image. |
| id |
IOS2679.16912 |
| institution |
Universitas Katolik Soegijapranata |
| institution_id |
334 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas Katolik Soegijapranata |
| library_id |
522 |
| collection |
Unika Repository |
| repository_id |
2679 |
| subject_area |
Akuntansi Arsitektur Ekonomi |
| city |
SEMARANG |
| province |
JAWA TENGAH |
| repoId |
IOS2679 |
| first_indexed |
2019-05-05T00:44:46Z |
| last_indexed |
2019-05-05T00:44:46Z |
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dc |
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1765771843560538112 |
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17.538404 |