چکیده مقاله
In this paper, an artificial neural network system isused to identify the edges of digital images In the proposedmethod, for each pair of image in the database original imageand real edge , a table containing edge and non edge records isextracted Then using the k mean clustering algorithm, theaverage number of non edge records should be reduced Byreducing the volume of records, the information in the tables iscombined together and the training table for the neural networkis created To test the neural network by grabbing a gray image,it is divided block wise and each block is delivered to the neuralnetwork as an input, the neural network gives the output valueas an edge or non edge pixel To analyze the results, differentvarious metrics have been used to evaluate the result of theproposed method compared to other methods The results of theimplementation show that the proposed algorithm performsbetter than comparable methods
کلیدواژهها
نویسندگان
Monireh Arabkarkandeh
Department of computer engineeringLamei Gorgani Institute of Higher EducationGorgan, Iran
Mahbubeh Sadeghian
Department of computer engineeringLamei Gorgani Institute of Higher EducationGorgan, Iran
شیوه ارجاع
Arabkarkandeh, Monireh and Sadeghian, Mahbubeh,1401,Effective solution for digital image edge detectionbased on artificial neural network,The 13th International Conference on Innovation and Research in Engineering Sciences
ارائهشده در
مجموعه مقالات سیزدهمین کنفرانس بین المللی نوآوری و تحقیق در علوم مهندسی20 آبان 1401