一种图像数据完整性检测方法及装置
By using a joint discrimination method based on local color variance and edge energy, the problems of false negatives and false positives in image data detection in existing technologies are solved, achieving efficient image data integrity detection, which is suitable for real-time video surveillance and industrial production line applications.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANDONG GUOSHU DEV CO LTD
- Filing Date
- 2025-12-11
- Publication Date
- 2026-07-17
AI Technical Summary
Existing image data detection methods suffer from false negatives and false negatives when identifying corrupted image data, especially decoding errors that may occur during the transmission or encoding process of camera/network video systems. Corruption can manifest as bottom color blocks, horizontal stripes, color bands, blocky noise, or abrupt blurry areas.
The system employs a joint discrimination method based on the local color variance statistic is_anomaly_ratio and the edge energy statistic edge_jump_ratio for each row. It calculates the local color variance and edge energy of the image frame through a sliding window, and combines the results with a preset threshold to determine whether the image is abnormal. The false alarm rate is reduced through short-term fusion and continuous frame analysis.
It achieves high accuracy in normal image detection and abnormal image recognition, making it suitable for real-time video monitoring and industrial production line inspection. It also features low computational complexity and is easy to deploy in real time.
Smart Images
Figure CN121661032B_ABST