Abstract—Vision is the most advanced of our senses, so it is not surprising that images contribute important role in human perception. This is analogous to machine vision such as shape recognition application which is important field nowadays. This paper proposed shape recognition method where circle, square and triangle object in the image will be recognizable by the algorithm. This proposed method utilizes intensity value from the input image then thresholded by Otsu’s method to obtain the binary image. Median filtering is applied to eliminate noise and Sobel operator is used to find the edges. Thinning method is used to remove unwanted edge pixels where these pixels may be counted in the parameter estimation algorithm, hence increase the false detection. The shapes are decided by compactness of the region. The experimental results show that this method archives 85% accuracy when implemented in selected database.
Index Terms—Object area, object parameter, and shape recognition.
Mohd Firdaus Zakaria and Shahrel Azmin Suandi are with Intelligent Biometric Group, School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal,Seberang Prai Selatan, Penang, Malaysia (e-mail: firstname.lastname@example.org, email@example.com).
Cite: Mohd Firdaus Zakaria, Hoo Seng Choon, and Shahrel Azmin Suandi, "Object Shape Recognition in Image for Machine Vision Application," International Journal of Computer Theory and Engineering vol. 4, no. 1, pp. 76-80, 2012.