چکیده مقاله
Binarization or Thresholding is an important step in computer vision applications and has a substantial influence such as, preprocessing step in camera calibration and augmented reality applications Binarization use thresholding value to separate foreground from the background, and reduction the amount of data to be process and rise the computational speed Recently, there has been an increased interest in multilevel Thresholding However, as the number of levels increases, the computation time rise In addition, single threshold methods are faster than multilevel methods because of reduced amount of data to process Moreover, for each new application, new methods must be developed due to different requirements of applications In this work, an algorithm that applies the peak signal to noise ratio method as an indicator to segment the image is proposed along with fuzzy
کلیدواژهها
نویسندگان
Farshid PirahanSiah
Young Researchers and Elite Club, Prof Hessabi Branch, Islamic Azad University, Tafresh, Iran
Mohammad Shahverdy*
Young Researchers and Elite Club, Prof Hessabi Branch, Islamic Azad University, Tafresh, Iran
شیوه ارجاع
PirahanSiah, Farshid and Shahverdy*, Mohammad,1395,Image Binarization for OCR Systems Based on Least Vicissitudes PSNR with Fuzzy,2nd National Congress of Electrical and Computer Engineering of Iran,Ramsar
ارائهشده در
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