Image processing method, device, equipment and product
By using object detection and clustering algorithms to process images on low-computing terminals, mask images are generated, and the problem of low image processing efficiency in the prior art is solved, and efficient and accurate image segmentation is achieved.
CN119722702APending Publication Date: 2025-03-28IFLYTEK CO LTD
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Patent Information
- Application Number
- CN202411761777.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-03
- Publication Date
- 2025-03-28
AI Technical Summary
Technical Problem
The existing image processing methods have high requirements for the computing power of the equipment, and are less efficient when deployed in low-computing terminals, which cannot meet the actual usage requirements.
Method used
By acquiring color images and depth images, performing object detection and cropping, clustering depth images using clustering algorithms to generate mask images to achieve image segmentation.
Benefits of technology
While meeting the overall solution's low computing power requirements, it ensures the accuracy of image segmentation, simplifies feature engineering, reduces background pixels, and improves the effect of image segmentation.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides an image processing method and device, equipment and a product. The method belongs to the technical field of image processing. Specifically, the method comprises the following steps: acquiring a first color image and a first depth image; the first color image comprises color information of the target object, and the first depth image comprises depth information of the target object; performing target detection on the first color image, and outputting first bounding box information of a target object in the first color image; cutting the first depth image according to the first bounding box information to obtain a second depth image; clustering all pixel points in the second depth image through a clustering algorithm to obtain a clustering result; and generating a mask image corresponding to the second depth image according to a clustering result. According to the image segmentation method and device, the accuracy of image segmentation can be ensured while the low-computing-power requirement of the overall scheme is met.
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