A Gesture Image Segmentation and Recognition Method Based on Improved Capsule Network and Algorithm

A recognition method and image segmentation technology, which is applied in character and pattern recognition, computing, computer components, etc., can solve the problems of slow convergence of matrix capsule network, increased hardware overhead, and large number of recognition parameters, so as to improve gesture image recognition rate, reduce the loss value, and accelerate the convergence of the loss value

Active Publication Date: 2022-05-17
吴斌
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Problems solved by technology

[0004] The purpose of the present invention is to provide a gesture image segmentation and recognition method based on the improved capsule network and algorithm, to solve the problem that the existing matrix capsule network converges slowly, and the recognition rate is not high due to the use of a single scale channel, and the CNN algorithm is directly used for segmentation and recognition. The technical problem of identifying a large number of parameters and greatly increasing hardware overhead

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  • A Gesture Image Segmentation and Recognition Method Based on Improved Capsule Network and Algorithm
  • A Gesture Image Segmentation and Recognition Method Based on Improved Capsule Network and Algorithm
  • A Gesture Image Segmentation and Recognition Method Based on Improved Capsule Network and Algorithm

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[0061] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below with reference to the accompanying drawings and preferred embodiments. However, it should be noted that many of the details listed in the specification are only for readers to have a thorough understanding of one or more aspects of the present invention, and these aspects of the present invention can be implemented even without these specific details.

[0062] The invention provides a flow chart of a gesture image segmentation and recognition method based on an improved capsule network and algorithm, which is mainly composed of an algorithm and corresponding software parts. The software part mainly completes image segmentation, positioning and classification, mainly including video frame truncating, Image enhancement, gesture image segmentation, calculation of gesture positioning, calculation of gesture classific...

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Abstract

The invention discloses a gesture image segmentation and recognition method based on an improved capsule network and algorithm, which belongs to the technical field of computer vision and artificial intelligence. Under complex backgrounds, the proposed U-shaped residual capsule network is used to remove the background and segment gesture images , and then use the image processing method to remove the noise and locate the gesture position of the binarized image. Third, use the located gesture area as a mask to remove the background of the original image, and only keep the gesture image. Finally, the gesture image Input to the improved matrix capsule network and use the improved algorithm for identification. Compared with the U-Net algorithm, the improved algorithm greatly reduces the amount of parameters, improves the segmentation performance of gesture images, and thus improves the recognition rate of gesture images.

Description

technical field [0001] The invention relates to the technical fields of computer vision and artificial intelligence, in particular to a gesture image segmentation and recognition method based on an improved capsule network and algorithm. Background technique [0002] At present, the interaction between human and machine has become an important research field in the field of artificial intelligence. In order to meet the needs of practical applications, it is of great application value to study the human-machine gesture communication method based on machine vision. For example, the application of human-machine gesture communication in the fields of handheld gimbal, unmanned aerial vehicle gimbal, AR (Augmented Reality), VR (Virtual Reality) and the translation of gestures and sign language for deaf-mute people will greatly improve the quality of related products. Intelligent level, while convenient for people's daily life. The general gesture recognition technology includes a...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/20G06V10/774G06K9/62
CPCG06V40/28G06F18/214
Inventor 莫伟珑罗晓曙赵书林
Owner 吴斌
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