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Review on PCB Defect Detection Using Image Processing

EasyChair Preprint no. 7246

4 pagesDate: December 20, 2021


Automated PCB Defect detection is the way of detecting more accurate defect detection other than manual defect detection. It has a benefit relating to time degradation, precision detection. PCB Defect Detection Method is required to overcome some common defects that occurs normally during circuit operation. There are various PCB defect detection standards are used worldwide to assure that PCB can be worked properly in different temperature or not. The main contribution of this work lies in comparative study of different detection ways using Image Processing and their standards. This study will help to choose the affordable defect detection methods as per their requirements.

Keyphrases: MATLAB, morphological method, pcb testing, wavelet transformation

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Shubham Makwana and Vinod Patel},
  title = {Review on PCB Defect Detection Using Image Processing},
  howpublished = {EasyChair Preprint no. 7246},

  year = {EasyChair, 2021}}
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