Range Gate Image Search Window Sizing for Target Detection
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Solution Overview
Problem
Existing image processing technologies face challenges in automatically extracting image regions of detection targets at high speed, particularly due to inefficient search window sizing and the complexity of processing grayscale images.
Innovation Solution
The proposed image processing method utilizes a range gate imaging device to capture binary-like range gate images and a grayscale imaging device to capture grayscale images. The method involves setting a search window size corresponding to the capture distance, allowing for efficient detection of target regions within the range gate images, and synthesizing object information with corresponding grayscale image information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a search window is used to search for detection targets in grayscale images, then detection capability is improved, but processing speed deteriorates due to large calculation amounts
Solution Approach 1:
The patent segments the detection process into two stages: first performing search processing on range gate images (binary images with smaller data量) to locate candidate regions, then performing detailed detection on grayscale images only within those candidate regions. This segmentation avoids the need to process entire grayscale images, thereby improving processing speed while maintaining detection capability.
Solution Approach 2:
The patent introduces range gate images as an intermediary medium between the grayscale imaging device and the detection algorithm. These binary images serve as a preliminary filter that reduces the data volume requiring intensive processing, enabling faster search processing while preserving the ability to accurately detect targets in the subsequent grayscale image analysis.
2Ease of manufacture
If a fixed search window size is used, then implementation simplicity is improved, but search efficiency deteriorates due to mismatch with target size at different distances
Solution Approach 1:
The patent implements dynamic search window sizing where the window dimensions are adjusted according to the capture distance. As objects appear smaller in the image plane when farther away, the search window size is reduced for distant targets and enlarged for nearby targets. This dynamic adaptation improves search efficiency by matching the window size to the actual target size at each distance, while the automated calculation based on distance information keeps the implementation relatively simple.
Solution Approach 2:
The patent changes the search window size parameter based on the capture distance parameter. By establishing a relationship between distance and window size (typically inverse proportionality), the system automatically adjusts the search window dimensions according to the measured distance to the detection target, thereby optimizing search efficiency without requiring manual intervention or complex heuristics.
3Measurement precision
If 3D model matching is performed on distance images, then detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent extracts only the essential information needed for detection from the distance data, rather than performing comprehensive 3D model matching. By utilizing the range gate image (which contains distance information in binary form) as a search guide, the system extracts candidate region information without requiring full 3D reconstruction or complex model comparison, thereby reducing processing complexity while maintaining adequate detection accuracy.
Data Source
AI summary
An image processing method includes: first processing of acquiring a range gate image using a range gate imaging device that captures an image of a set distance range for a predetermined capture area; second processing of searching for a detection target in the range gate image using a search window having a size corresponding to a capture distance from the range gate imaging device to the set distance range; and third processing of synthesizing, when a window region satisfying a predetermined condition is detected in the range gate image in the second processing, object information included in the window region and a grayscale image acquired using a grayscale imaging device that captures a grayscale image of the predetermined capture area and outputting the result.