Image Processing Apparatus for Biological Specimen Hue Correction
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Solution Overview
Problem
Existing biological image processing systems are influenced by changes in microscopes or CCD cameras, affecting pathological diagnoses due to variations in image hue and quality.
Innovation Solution
An image processing apparatus that acquires identification information of the image reading apparatus, determines the type of biological tissue, and applies correction processes to normalize the image, ensuring consistency with a standard image, even when different equipment is used.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If an image reading apparatus (microscope or CCD) is replaced, then device versatility is improved, but image quality consistency deteriorates due to changes in hue and read image data
Solution Approach 1:
The patent applies parameter changes by adjusting image processing parameters based on the identification information of the image reading apparatus. The system stores multiple sets of image processing parameters corresponding to different apparatuses and selects the appropriate parameters to process images, thereby compensating for hardware variations and maintaining consistent image quality across different devices
Solution Approach 2:
The system implements feedback by acquiring identification information from the image reading apparatus, retrieving corresponding correction parameters from storage, and applying these parameters to adjust the image processing. This closed-loop approach ensures that each apparatus receives customized processing parameters based on its characteristics, maintaining image consistency
2Manufacturing precision
If image processing correction is applied for each apparatus type, then image quality consistency is improved, but system complexity increases due to multiple correction processes
Solution Approach 1:
The patent implements universality by creating a unified image processing system that handles multiple apparatus types through a single standardized interface. The system stores correction parameters in a centralized database and uses a universal processing workflow that automatically selects and applies the appropriate corrections, eliminating the need for separate complex processing chains for each device
Solution Approach 2:
The system applies preliminary action by pre-calculating and storing optimal image processing parameters for each apparatus type in advance. When an image is processed, the system simply retrieves the pre-prepared correction parameters based on the apparatus identification, avoiding the need for complex real-time calculations and simplifying the processing workflow
Data Source
AI summary
The invention is directed to a reduction in the influence on a pathological diagnosis when an image reading apparatus is exchanged. In order to solve the above-mentioned problem, there is provided an image processing apparatus that processes a biological image generated by capturing an image of a biological specimen in an image reading apparatus, including: an acquisition unit that acquires identification information of the image reading apparatus; a determination unit that determines a type of biological tissue included in the biological image; and a correction unit that adds a correction process to the biological image in correspondence with the identification information of the image reading apparatus and the type of biological tissue.