Array Sensor Image Processing Parameter Adjustment for Object Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Array sensors face challenges in automatically adjusting image quality for various object classes, leading to reduced accuracy in object recognition, especially when computers perform image recognition tasks.
Innovation Solution
A sensor device with an array sensor and an image processing unit that identifies the class of detected objects and adjusts image processing parameters accordingly, applying specific image processing techniques such as color correction, gamma correction, and contour enhancement to enhance recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If image quality is adjusted to create beautiful pictures for human viewing, then aesthetic quality is improved, but accuracy of class identification for computer-based object recognition is lowered
Solution Approach 1:
The patent implements dynamic adjustment of image processing parameters based on the detected object class. The system switches between different processing modes (aesthetic optimization for human viewing vs. recognition optimization for computer analysis) depending on the identified object type, making the image quality characteristics adaptable rather than fixed.
Solution Approach 2:
The patent applies different image processing parameters to different object classes locally. Instead of using uniform processing for all images, the system identifies the object class and applies class-specific processing parameters that are optimized for that particular type of object, thereby improving recognition accuracy for each category while maintaining aesthetic quality for others.
2Measurement precision
If automatic image quality adjustment for various class types is implemented, then recognition accuracy is improved, but device complexity increases
Solution Approach 1:
The patent pre-defines multiple sets of processing parameters corresponding to different object classes before runtime. The system performs class identification first, then selects the appropriate pre-configured parameter set for that class, avoiding the need for complex real-time parameter optimization and reducing computational complexity during actual processing.
Solution Approach 2:
The patent changes processing parameters (such as color space conversion, gamma correction, contrast enhancement settings) based on the identified object class. By systematically varying these parameters according to class type, the system achieves high recognition accuracy across diverse objects without requiring entirely different processing pipelines for each class.
Data Source
AI summary
A sensor device includes an array sensor in which a plurality of visible or non-visible light imaging elements is arranged in one or two dimensional manner, and an image processing unit that performs image processing using a parameter on which an instruction is given for the image signal obtained by imaging in the array sensor. In this case, a class is identified for an object detected from the image signal obtained by the imaging in the array sensor, the parameter to be used in the image processing is selected on the basis of the identified class, and a processing setting for the image processing unit is performed with the selected parameter.