Detecting object using combination of sharpening and edge detection method

Irsyadi Yani, M. A. Hannan, Hassan Basri, Edgar Scavino, Noor Ezlin bin Ahmad Basri

Research output: Contribution to journalArticle

3 Citations (Scopus)


Object detection is one of the most important preprocessing steps in object recognition and identification systems. This can be done by searching and indexing still image or video containing object in various size, position and background. This paper deals the beverage cans detection system on the moving conveyor belt using combination of sharpening and edge detection method. Experimental results show that the accuracy of the cans detection system is strongly enough which is based on the quality and quantity of the data used in the database. It also shows that the sharpening and edge detection algorithm improves the detecting speed significantly. © EuroJournals Publishing, Inc. 2009.
Original languageEnglish
Pages (from-to)122-128
Number of pages109
JournalEuropean Journal of Scientific Research
Publication statusPublished - 01 Jan 2009
Externally publishedYes


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