Paper Title :Foreign Fiber Detection in Cotton using his Approach for Industrial Automation
Author :Eyasmina Parveen, Koj Sambyo
Article Citation :Eyasmina Parveen ,Koj Sambyo ,
(2018 ) " Foreign Fiber Detection in Cotton using his Approach for Industrial Automation " ,
International Journal of Electrical, Electronics and Data Communication (IJEEDC) ,
pp. 70-73,
Volume-6,Issue-7
Abstract : This presentation offers a new method for using templates that match the templates of Convolution Neural
Network. The CNNs are running simultaneously to train template images. All Information about image template is send to
neural network that has been convoluted the image with saved template in very fast manner. It is accuracy while scanning a
image and convolute the pixel with pure image pixel and find the exact difference in between them. The test picture is a
cotton production image containing the foreign image and find out the impurities in running a production line of cotton with
high accuracy
Index terms- Foreign Fiber, Recognition Image Pixels, Color space, Template Matching Process, Convolution Neural
Network.
Type : Research paper
Published : Volume-6,Issue-7
DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-13044
View Here
Copyright: © Institute of Research and Journals
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Published on 2018-09-03 |
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