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.
|Number of pages||109|
|Journal||European Journal of Scientific Research|
|Publication status||Published - 01 Jan 2009|
Yani, I., Hannan, M. A., Basri, H., Scavino, E., & Basri, N. E. B. A. (2009). Detecting object using combination of sharpening and edge detection method. European Journal of Scientific Research, 122-128.