Ring Object Detection via Contour Diameter and Rectangle Ratio
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Solution Overview
Problem
Current algorithms for detecting ring-shaped objects, such as the Hough transform, face challenges with high computational complexity, low detection efficiency, and potential false detections, making them inefficient for accurate identification in image processing.
Innovation Solution
An object detection method that performs edge detection, determines contours, calculates contour diameters, and assesses shapes using circumscribed rectangular frames and diameter ratios to quickly and accurately identify ring-shaped objects, reducing computational complexity and labor costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Hough transform algorithm is used for ring-shaped object detection, then detection capability is provided, but computational complexity increases and detection efficiency decreases
Solution Approach 1:
The patent extracts only the essential geometric features (contour diameter, circumscribed rectangle side lengths) from the complex Hough transform process. By taking out these key parameters and using them in simple ratio comparisons, the solution achieves ring-shaped object detection without the computational burden of the full Hough transform algorithm.
Solution Approach 2:
The patent replaces the expensive and complex Hough transform algorithm with a simple, lightweight detection method based on contour analysis and geometric ratio comparison. This disposable-like approach uses minimal computational resources while achieving the same detection function.
2Reliability
If Hough transform algorithm is used for ring-shaped object detection, then detection capability is provided, but false detection occurs
Solution Approach 1:
The patent changes the detection parameters from the complex mathematical space of Hough transform to simple geometric parameters (contour diameter, circumscribed rectangle side lengths). By working with these direct geometric measurements and their ratios, the system achieves more accurate ring-shaped object detection with fewer false positives.
3Measurement precision
If complex detection algorithms are used to improve detection accuracy, then detection precision increases, but computational complexity and processing time increase
Solution Approach 1:
The patent segments the detection process into simple, independent steps: extracting contours, calculating contour diameter, measuring circumscribed rectangle side lengths, and comparing ratios. This segmentation breaks down what would be a complex one-step Hough transform into multiple simple operations that are easier to implement and compute.
Data Source
AI summary
The present disclosure provides an object detection method, an object detection device, and a storage medium. In the present disclosure, with respect to each contour existing in an image to be detected, a contour diameter is calculated; a shape of the contour is determined based on side lengths of the circumscribed rectangular frame of each contour and the contour diameter; and an object in the image to be detected and parameter information of the object is determined based on the shape of each contour, thereby quickly and accurately detecting the shape of the object and reducing the labor cost and time of detection due to the low complexity of the detection.