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Identification of Object Shapes on Two Dimensional Digital Image Using Normalized Cross Correlation

Anwar, Suhendra Anwar and Ranny, Ranny and Prasetiyowati, Maria Irmina (2015) Identification of Object Shapes on Two Dimensional Digital Image Using Normalized Cross Correlation. CONMEDIA.

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Digital image recognition is one of the common research topic in Computer Science. Image pattern recognition is used in several applications for example in object identification. This research using a simple method to recognized the shape of object. There are some of object shapes like circle, square, and triangle. The object shapes are the basic shapes of many object things in human life. To recognize the shape, this research using template matching method. Template matching method is process based on the searching of similarities between input image object and image object template. Therefore the purpose of this research is to design and develop a two dimensional image shape identification system which is supported with various condition of image database. The method is using template matching method with NCC (Normalized Cross Correlation) formula. The result of the experiment with various image data is 82.9% accuracy.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods (Artificial Intelligence, Machine Learning, 3D Graphics, Digital Video, Data Mining, Augmented Reality)
700 Arts and Recreation > 770 Photography, Computer Art, Film, Video > 776 Computer Art (Digital art)
Divisions: Fakultas Teknik Informatika > Program Studi Informatika
Depositing User: mr admin umn
Date Deposited: 07 Oct 2021 07:44
Last Modified: 07 Oct 2021 07:44

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