Probabilistic Active Recognition of Multiple Objects Using Hough-Based Geometric Matching Features

The image intelligent processing analysis technology uses a computer to imitate and execute some intellectual functions of the human brain, and realizes an image processing system with artificial intelligence, that is, an image processing analysis technology is an understanding of an image. The degree of intelligent automated analysis and processing is low, many operations need to be done manually, causing human error, inaccurate detection, and time-consuming and laborious. Deep learning method can extract features step by step in the original image from the bottom to the top. Therefore, based on feature analysis technology, this paper uses the deep learning method to intelligently and automatically analyse the visual image. This method only needs to send the image into the system, and then the manual analysis is not needed, and the analysis result of the final image can be obtained. The process is completely intelligent and automatically processed. First, improve the deep learning model and use massive image data to choose and optimize parameters. Results indicate that our method not only automatically derives the semantic information of the image, but also accurately understands the image accurately and improve the work efficiency.

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Probabilistic Active Recognition of Multiple Objects Using Hough-Based Geometric Matching Features

Cited by 2 publications

References 13 publications

Feature mining simulation of video image information in multimedia learning environment based on BOW algorithm

Feature mining simulation of video image information in multimedia learning environment based on BOW algorithm

Image intelligent automatic processing analysis based on artificial intelligence vision generator

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