Real-Time Image Contour Extraction Without Frame Caching
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Solution Overview
Problem
Current image processing systems for smart fitting mirrors require frame caching, leading to increased storage costs, power consumption, and delayed response times due to the need for storing and processing entire image frames, which affects user experience.
Innovation Solution
An image processing method that acquires and processes pixel data in real-time by extracting the contour of a predetermined target within an initial image during transmission, reducing the need for frame caching through preprocessing operations like grayscale conversion, contrast enhancement, and Gaussian filtering, and utilizing intercept parameters to focus on specific regions of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frame caching is used for image processing, then processing completeness is improved, but storage cost increases and response time is delayed
Solution Approach 1:
The patent extracts only the necessary contour information of the predetermined target from the complete image frame, rather than processing the entire frame. By using connected domain analysis on binary pixel data, the system extracts minimal essential information (contour coordinates and characteristics) that suffices for application purposes, eliminating the need to cache and process complete frames while maintaining processing reliability.
Solution Approach 2:
The patent segments the image processing task into independent contour extraction operations rather than processing complete frames. By dividing the image into binary pixel data and identifying connected domains corresponding to the target object, the system processes only relevant portions independently, enabling real-time processing without requiring frame caching for completeness.
2Reliability
If frame caching is used for image processing, then processing completeness is improved, but power consumption increases
Solution Approach 1:
The patent extracts only the necessary contour information of the predetermined target from the complete image frame, rather than processing the entire frame. By using connected domain analysis on binary pixel data, the system extracts minimal essential information (contour coordinates and characteristics) that suffices for application purposes, eliminating the need to cache and process complete frames while maintaining processing reliability.
Solution Approach 2:
The patent applies partial action by processing only the portion of the image containing the predetermined target rather than the entire frame. Through binary image conversion and connected domain identification, the system performs minimal necessary processing to extract contour information, avoiding excessive processing of irrelevant image areas and thereby reducing power consumption while maintaining sufficient processing completeness.
3Loss of information
If entire image frames are processed, then information completeness is improved, but data processing volume increases
Solution Approach 1:
The patent extracts only the necessary contour information of the predetermined target from the complete image frame, rather than processing the entire frame. By using connected domain analysis on binary pixel data, the system extracts minimal essential information (contour coordinates and characteristics) that suffices for application purposes, eliminating the need to cache and process complete frames while maintaining processing reliability.
Solution Approach 2:
The patent segments the image processing task into independent contour extraction operations rather than processing complete frames. By dividing the image into binary pixel data and identifying connected domains corresponding to the target object, the system processes only relevant portions independently, enabling real-time processing without requiring frame caching for completeness.
Data Source
AI summary
An image processing method, an image processing system and a storage medium are provided. The image processing method includes: acquiring an initial image; extracting a contour of a predetermined target included in the initial image during a transmission process of pixel data of the initial image; and obtaining information of the predetermined target according to the contour of the predetermined target included in the initial image.


