Invention Grant
- Patent Title: Image searching method based on feature extraction
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Application No.: US16691755Application Date: 2019-11-22
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Publication No.: US11157767B2Publication Date: 2021-10-26
- Inventor: Qingchuan Wang , Guanyong Wu , Feng Liu , Xiangjun Zhu
- Applicant: Shanghai Firstbrave Information Technology Co., Ltd.
- Applicant Address: CN Shanghai
- Assignee: Shanghai Firstbrave Information Technology Co., Ltd.
- Current Assignee: Shanghai Firstbrave Information Technology Co., Ltd.
- Current Assignee Address: CN Shanghai
- Agent Yong Chen
- Priority: CN201710375848.6 20170524
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/46 ; G06K9/54 ; G06F16/51 ; G06F16/53

Abstract:
This invention provides an image searching method based on feature extraction to determine at least one sample image similar to the image to be searched, including the following steps: a. feature extraction on all sample images to obtain all corresponding feature information, while all sample images are I1, I2, . . . , IS and all said feature information corresponding to all sample images are V1, V2, . . . , VS; b. creating an index tree based on all of said feature information; c. obtaining the feature information corresponding to the image to be searched based on the feature extraction; d. determining said feature information corresponding to at least one sample image having a minimum distance from the image to be searched based on the index tree and the feature information of the image to be searched. The invention has powerful functions and simple operation, and is able to avoid interference of background, text annotation and image merging during processing and filtering of feature extraction, which has good search results and high commercial value.
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