Edge Detection with ResNet

سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 180

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شناسه ملی سند علمی:

CMTS03_003

تاریخ نمایه سازی: 14 شهریور 1402

چکیده مقاله:

Edge detection in computer vision is essential for higher-level vision tasks such as shape matching, visual salience, image segmentation, and object recognition. The methods based on deep learning are among the methods that have been proposed to increase accuracy, which is highly popular. In this paper, a method for edge detection with one of the deep architectures that have high accuracy is proposed. The results show that the F-measure for the proposed method with ResNet architecture has improved compared to other compared methods.

نویسندگان

Z. Dorrani

Department of Electrical Engineering, Payame Noor University (PNU), Tehran, Iran

H Farsi

Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran

S Mohamadzadeh

Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran