Image Analysis Apparatus Quality-Based Data Thinning
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Solution Overview
Problem
Existing image analysis techniques face challenges in reducing data output while maintaining analysis accuracy, especially with increasing object components and varying image quality, leading to potential delays and decreased accuracy.
Innovation Solution
An image analysis apparatus and method that deduces the quality of objects in subsequent images using state and quality models to determine whether to use object data for analysis, thereby reducing data output while maintaining accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of detected objects is increased due to higher resolution imaging, then the analysis coverage is improved, but the processing load and cost increase
Solution Approach 1:
The patent extracts only the necessary feature amounts from detected objects based on quality evaluation, rather than processing all objects uniformly. By selectively extracting features only from high-quality objects, the system maintains detection accuracy while reducing the overall processing load and computational cost.
Solution Approach 2:
The patent applies local quality evaluation to individual objects within the image, assessing each object's quality independently based on specific criteria (image quality, detection confidence, feature completeness). This allows the system to differentiate between high-quality and low-quality objects, processing only those that meet quality thresholds, thereby optimizing the balance between detection accuracy and processing throughput.
2Productivity
If data thinning is applied to reduce output data amount, then the processing speed is improved, but the analysis accuracy may decrease
Solution Approach 1:
The patent performs preliminary quality evaluation and feature extraction on objects before main analysis processing. By pre-assessing object quality and selectively extracting only necessary features from high-quality objects, the system prepares optimized data for subsequent analysis, thereby improving processing speed without compromising analysis accuracy.
Solution Approach 2:
The patent implements a feedback mechanism where quality evaluation results from preliminary processing inform the main analysis stage. Objects that fail quality thresholds are filtered out, while high-quality objects are selected for detailed analysis, creating a feedback loop that optimizes both processing efficiency and accuracy based on actual data quality.
Data Source
AI summary
The present invention reduces the amount of data outputted while maintaining the accuracy of an analysis process with a small delay amount, by an image analysis apparatus provided with: a deduction unit that deduces a second quality concerning an object in a second image, which is different from a first image associated with object data relating to an object to be inputted, on the basis of a first quality concerning the object relating to the object data and on the basis of the state of the object in the second image, the state being obtained by using a state model for deducing the position and the size of the object from the object data, while using a quality model for deducing the second quality concerning the object; and a determination unit that determines whether to use the object data for analysis on the basis of the deduced second quality.