Detecting object using combination of sharpening and edge detection method

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

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)122-128
Number of pages7
JournalEuropean Journal of Scientific Research
Volume32
Issue number1
Publication statusPublished - 2009

Fingerprint

Beverages
Edge Detection
Edge detection
detection method
Databases
Image Indexing
Video Indexing
Object Detection
Object recognition
Object Recognition
System Identification
Preprocessing
Identification (control systems)
cans
Experimental Results
methodology
beverages
Object
Data Accuracy
detection

Keywords

  • Beverage cans
  • Edge detection
  • Object detection
  • Sharpening

ASJC Scopus subject areas

  • General

Cite this

Detecting object using combination of sharpening and edge detection method. / Yani, Irsyadi; M A, Hannan; Basri, Hassan; Scavino, Edgar; Ahmad Basri, Noor Ezlin.

In: European Journal of Scientific Research, Vol. 32, No. 1, 2009, p. 122-128.

Research output: Contribution to journalArticle

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