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Gray scale-based distributed image bottom-level feature recognition method and system

A technology of underlying features and recognition methods, applied in still image data query, still image data retrieval, metadata still image retrieval, etc., can solve problems such as data source pollution, image analysis data is huge, and affects image recognition process, etc., to improve Accurate, robust, and scalable

Active Publication Date: 2019-03-26
山东智景无限网络科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006]The difficulty and challenge of image recognition mainly lies in the instability of the image source, the image quality is difficult to guarantee, resulting in data source pollution, thus affecting the image recognition process
In addition, the diversification and complexity of image recognition angles lead to huge image analysis data and it is difficult to guarantee the authenticity of the data

Method used

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  • Gray scale-based distributed image bottom-level feature recognition method and system
  • Gray scale-based distributed image bottom-level feature recognition method and system
  • Gray scale-based distributed image bottom-level feature recognition method and system

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Embodiment

[0073] The present invention will be further described in conjunction with accompanying drawing and specific embodiment:

[0074] Such as figure 1 As shown, the grayscale-based distributed image underlying feature system in the embodiment of the present invention includes the use of clients, front-end and back-end servers, and cloud image data storage. The main components in the whole system architecture include client, server and data center. The server is divided into front-end and back-end, which correspond to logic judgment module and data analysis module respectively.

[0075] In this system architecture, the client is the application layer, based on the actual application scenario of the image recognition model, there are three main applications of the mobile application client, image search, and the Internet of Things.

[0076] Among them, the mobile application client will implement a clothing application app for tops, bottoms, and footwear, as well as Android mobile ...

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Abstract

The invention discloses a gray based distributed image bottom-layer feature identification method. The method comprises the following steps: converting a color image into a gray image according to different feature requirements, storing a gray value, a pixel value and pixel coordinates of the gray image, and establishing a unified feature reference; designing an image fingerprint structure; generating an image contour fingerprint section; generating an image texture fingerprint section; generating an image color fingerprint section; designing a distributed fingerprint generation calculation node; designing a distributed fingerprint polling matching calculation node; and marking a matching degree of fingerprint identification, taking multi-time polling matching results as weight bases, weighting a matching result in the design of the distributed fingerprint polling matching calculation node to obtain the matching degree, and screening out the matching result. Under the condition of ensuring distributed storage and a calculation load, an algorithm process is optimized through extended calculation and connection node storage, and the effect can be further close to the image identification effect.

Description

technical field [0001] The invention relates to a distributed image recognition method, in particular to a distributed image bottom-level feature recognition method based on grayscale for image recognition by capturing the bottom-level features of the image under grayscale. Background technique [0002] Text, image, and video are the common presentation forms of data information in the multimedia era, and also represent the change of data information dimension, from one-dimensional, two-dimensional to three-dimensional process. As a representative of two-dimensional data, the image not only includes the intuitive reflection of the one-dimensional data carrier text, but also shows every process of the three-dimensional data carrier video. According to statistics, about 75% of the information a person obtains comes from vision, and images have increasingly become synonymous with information, creating an image thinking mode for human beings. [0003] Image recognition is an im...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/53G06F16/58
CPCG06F16/5838G06F16/951
Inventor 施佺孙玲吴俊
Owner 山东智景无限网络科技有限公司
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