Multi-Focus Optical Profile Fusion for Curved Surface Evaluation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing techniques struggle to accurately evaluate the surface condition of objects with curved structures due to depth of field limitations, leading to blurred images and inaccurate calculation of projection pattern variations.
Innovation Solution
An image processing apparatus that captures multiple images at different focal positions, extracts optical profiles from these images, combines them to generate a combined profile, and calculates an evaluation value based on this profile to assess the surface condition accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single image is captured at one focal position, then the image acquisition process is simple and fast, but the depth of field limitation causes parts of curved surfaces to be blurred, reducing measurement precision
Solution Approach 1:
The image acquisition process is segmented into multiple captures at different focal positions. The image processing apparatus divides the depth range into multiple focal planes, capturing images at each position. This segmentation allows different parts of the curved surface to be in focus at different capture moments, resolving the depth of field limitation while maintaining measurement precision.
2Measurement precision
If multiple images are captured at different focal positions, then the depth of field coverage is improved and all surface parts can be in focus, but the image acquisition time and processing complexity increase
Solution Approach 1:
The system performs preliminary action by automatically determining the optimal number of focal positions and intervals before image capture. The determination unit calculates required focal positions based on object depth information, allowing the system to prepare the acquisition plan in advance. This reduces actual capture time by avoiding unnecessary focal position captures while ensuring complete depth coverage.
Solution Approach 2:
The image processing apparatus dynamically adjusts the number of focal positions and capture intervals based on the specific object being evaluated. The determination unit adapts the acquisition parameters in real-time according to object depth characteristics, optimizing the balance between measurement precision and acquisition time for each specific case.
3Measurement precision
If multiple optical profiles are combined from different focal positions, then the evaluation accuracy for curved surfaces is improved, but the computational complexity increases
Solution Approach 1:
The system extracts only the necessary optical profile information from each captured image at different focal positions. Rather than processing entire images, the extraction unit isolates the relevant projection pattern data and optical profiles needed for surface evaluation. This selective extraction reduces computational complexity while maintaining evaluation accuracy.
Solution Approach 2:
The system creates simplified representations (copies) of the optical profiles from multiple focal positions and combines them to generate a comprehensive evaluation result. Instead of processing all original image data, the apparatus works with extracted profile copies that contain the essential surface information, reducing computational load while preserving measurement accuracy.
Data Source
AI summary
An image processing apparatus acquires a plurality of images obtained by capturing images of an object to be evaluated at a plurality of focal positions, and acquires a plurality of optical profiles representing attributes of an image on a surface of the object based on the plurality of images. The image processing apparatus combines the acquired plurality of optical profiles to generate a combined profile, and acquires an evaluation value representing a condition of the surface of the object based on the generated combined profile.