Artificial Neural Network algorithm for image Compression and Edge Detection
In recent years, detection of things measured in the PASCAL VOC dataset has stabilized. Low-level image features and high-level context. There are many ways to perform complex grouping systems that combine image features in this work. An algorithm has been proposed to reveal the edge of the image...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Computer Science and Mathematics, University of Kufa
2021-03-01
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| Series: | Journal of Kufa for Mathematics and Computer |
| Subjects: | |
| Online Access: | https://journal.uokufa.edu.iq/index.php/jkmc/article/view/3196 |
| Summary: | In recent years, detection of things measured in the PASCAL VOC dataset has stabilized. Low-level image
features and high-level context. There are many ways to perform complex grouping systems that combine image
features in this work. An algorithm has been proposed to reveal the edge of the image in the proposed way Fully
Connected Network (FC) by Convolution Neural Network (CNN) in short time using CNN method to reduce the
space occupied by the original information of the image. To highlight the role of Artificial Neural Network (ANN) in
the field of images to detect the edges using modern techniques in many areas of science, engineering and medicine,
where the images of the cancerous cells algorithm that was created in this paper are revealed showing the importance
of Artificial Neural Network (ANN) and Fully Connected Network (FC) by Convolution Neural Network (CNN) to
detect cancer cells and tumors. |
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| ISSN: | 2076-1171 2518-0010 |