Image Processing Apparatus Focusing Accuracy via Index Feedback
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Solution Overview
Problem
Existing image processing systems face challenges in accurately focusing on target objects, especially when dealing with objects of varying depth and luminance, as users rely on manual adjustment and relative focus indices, which can be inaccurate due to unrelated image elements and require expert knowledge for desired image processing.
Innovation Solution
An image processing apparatus that allows users to select and edit second image processing information based on received operations, displaying index values for focusing accuracy, enabling manual adjustment improvements and simplifying image processing tasks for users without expert knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual focusing adjustment is performed by visual sense, then the user can adjust the focus ring while viewing live video, but accurate focusing is difficult to achieve
Solution Approach 1:
The system calculates and displays a focus evaluation value that provides real-time feedback to the user during manual focusing. This quantitative indicator allows the user to adjust the focus ring while monitoring the focus evaluation value, enabling accurate focusing without requiring expert knowledge or complex visual judgment.
2Ease of operation
If a relative focus index value based on luminance difference is used, then focusing assistance is provided, but accuracy is insufficient due to unrelated image elements affecting the index
Solution Approach 1:
The system extracts only the relevant portions of the image (regions containing the target object) for focus evaluation, excluding unrelated elements such as background objects or irrelevant reflections. This selective extraction ensures that the focus evaluation value reflects only the focusing state of the intended target, eliminating interference from unrelated image elements.
Solution Approach 2:
Instead of using a global focus evaluation across the entire image, the system applies local focus evaluation to specific regions of interest. Different regions can have different evaluation criteria tailored to their characteristics, allowing accurate focus assessment even when parts of the image contain unrelated elements with varying luminance properties.
3Productivity
If the selection method displays candidates according to immediately preceding registered image processing command, then creation of image processing procedure is assisted, but user still has to select necessary commands requiring expert knowledge
Solution Approach 1:
The system automatically determines and executes the appropriate image processing commands based on the analyzed image content and detected object characteristics. Instead of requiring the user to manually select processing commands, the system autonomously applies suitable processing procedures, making the system serve itself in determining the necessary operations.
Solution Approach 2:
The system dynamically adjusts image processing parameters based on real-time analysis of the image content, object type, and focusing state. This automatic parameter optimization eliminates the need for users to have expert knowledge of processing parameters, as the system adapts them according to the specific imaging conditions.
Data Source
AI summary
An image processing apparatus that performs inspection or measurement of an object included in an image, the image processing apparatus receiving operation from a user, selecting second image processing information, which is information indicating second image processing configured by a plurality of kinds of first image processing, on the basis of the received operation, and performing editing of the plurality of kinds of first image processing configuring the second image processing indicated by the second image processing information.