Object classification method and device, equipment and storage medium
A classification method and object technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of inaccurate recognition results, limited expert personal experience, etc., and achieve the effect of improving recognition accuracy and judgment accuracy
Pending Publication Date: 2021-09-28
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology
[0002] In the current nose color recognition method, experts usually identify based on their own accumulated experience. However, this method is limited by the expert's personal experience. At the same time, in the actual process, due to the interference of light and other factors, the recognition results Inaccurate
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[0062] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0063] likefigure 1 Shown is a flowchart of a preferred embodiment of the object classification method of the present invention. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.
[0064] The object classification method is applied to one or more electronic devices, and the electronic device is a device capable of automatically performing numerical calculation and / or information processing according to preset or stored computer-readable instructions, and its hardware includes But not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable gate arrays (Field-Programmable Gate Array, FPGA), digital sign...
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The invention relates to artificial intelligence, and provides an object classification method and device, equipment and a storage medium. According to the method, an identification image and an identification object can be obtained, key point detection is performed on the identification image, multiple key point coordinate information is obtained, an object region of interest is extracted according to the multiple key point coordinate information and object features, color features and texture features in the object region of interest are extracted, and the color features and the texture features are fused to obtain fusion features; the fusion features are analyzed based on a binary classification model to obtain an initial result, if the initial result is a preset result, a feature spectrum corresponding to the fusion features is extracted from the binary classification model, and the feature spectrum and the fusion features are input into a multi-classification model to obtain a target category. According to the invention, the target category can be accurately determined. In addition, the invention also relates to a block chain technology, and the target category can be stored in a block chain.
Description
technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an object classification method, device, equipment and storage medium. Background technique [0002] In the current nose color recognition method, experts usually identify based on their own accumulated experience. However, this method is limited by the expert's personal experience. At the same time, in the actual process, due to the interference of light and other factors, the recognition results Inaccurate. Contents of the invention [0003] In view of the above, it is necessary to provide an object classification method, device, equipment and storage medium, which can accurately determine the object category. [0004] On the one hand, the present invention proposes an object classification method, and the object classification method includes: [0005] When an object classification request is received, an identification image and an identification o...
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IPC IPC(8): G06K9/32G06K9/46G06K9/62G06T7/40G06T7/90
CPCG06T7/40G06T7/90G06F18/214
Inventor 李康周宸陈远旭
Owner PING AN TECH (SHENZHEN) CO LTD