The Application Study on the Improved Canny Algorithm for Edge Detection in Strain Gauge Image

Qin, Wei; Juan, Li

doi:10.1051/matecconf/201712801017

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Module For Edge Detection and Texture Analysis1

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2024

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“…The improved Canny algorithm [10][11][12] is used for edge detection. Canny edge detection is a widely used edge detection algorithm whose main objective is to identify prominent edges in an image.…”

Section: Module For Edge Detection and Texture Analysismentioning

confidence: 99%

Deep-learning-based recognition of real and artificial images

Li,

Cao,

Cai

2024

International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024)

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In response to the challenge of effectively identifying artificially generated images from real ones, this paper proposes a deep learning-based approach for authenticating images. The proposed method utilizes a combination of convolutional neural networks (CNN) and generative adversarial networks (GANs) to compare and analyze various indicators of images. Experimental results demonstrate that deep learning algorithms can significantly improve the accuracy and reliability of image authenticity identification. The proposed method has significant implications for protecting intellectual property rights and ensuring public safety. The research contributes to the advancement of computer vision and image processing fields and underscores the need for continued efforts to address the challenges posed by artificial intelligence and image generation technology.

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Section: Module For Edge Detection and Texture Analysismentioning

confidence: 99%