Image Provision Apparatus Partial Image Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing techniques face increased overhead and slowed diagnosis image creation when handling large amounts of image data, as they involve significant raster line data processing.
Innovation Solution
An image provision apparatus that decomposes image data into unit images in both row and column directions, allowing for efficient storage and rapid generation of partial images based on requested ranges, reducing processing overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If image data is decomposed into raster line data as in Patent Literature 1, then image processing is facilitated, but when enormous amounts of image data are handled, the overhead of image processing is increased and creation of diagnostic images is slowed down
Solution Approach 1:
The patent further segments raster line data into smaller units called unit image data, which represents a block of pixels arranged in a lateral row. This additional segmentation level reduces the overhead of image processing by breaking down large raster line data into manageable units, enabling faster processing of enormous image data while maintaining the facilitation of image processing.
2Measurement precision
If high-resolution image data is created for the entire structure to record every deterioration phenomenon, then diagnostic accuracy is improved, but a vast amount of image data is involved increasing processing complexity
Solution Approach 1:
The patent applies local quality by assigning different resolution levels to different regions of the image based on diagnostic needs. Unit image data can be processed at appropriate resolution levels - high resolution for areas requiring detailed inspection and lower resolution for areas where overall assessment suffices. This reduces the vast amount of image data involved while maintaining diagnostic accuracy for critical areas.
Solution Approach 2:
By segmenting the entire image into multiple unit image data blocks, the patent reduces processing complexity. Each unit can be processed independently and in parallel, allowing the system to handle high-resolution data for the entire structure without being overwhelmed by the vast amount of data, as processing is distributed across multiple smaller units.
3Speed
If the resolution of extracted image data is reduced to adapt to diagnostic environment constraints, then processing speed is improved, but diagnostic precision may be compromised
Solution Approach 1:
The patent enables dynamic resolution adjustment by allowing the system to process unit image data at different resolution levels based on real-time diagnostic requirements. The apparatus can selectively apply higher resolution processing to unit images where precision is critical while using lower resolution for other areas, thus maintaining diagnostic precision where needed while improving overall processing speed.
Data Source
AI summary
In an image provision apparatus (100), a decomposition unit (111) decomposes image data into pieces of unit image data (70). A storing unit (112) stores, in a memory unit (130), image management information (131) including each piece of unit image data (70) of the pieces of unit image data and position information. An acquisition unit (121) accepts a provision request (52). The provision request (52) includes range information representing a range of a partial image in the image. The acquisition unit (121) acquires a unit image data set (711) representing unit images each including at least part of the partial image from the image management information (131), based on the range information and the position information. A generation unit (122) generates the partial image (63) based on the unit image data set (711).