Observation Image Generation Using Reduced Composite Regions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing imaging devices face challenges in handling large data sizes and memory requirements when capturing images at high resolutions, leading to difficulties in processing and composition due to increased data volume.
Innovation Solution
A method involving image segmentation, reduction, and selective data handling to reduce memory requirements, including deleting non-observation region images, generating composite images in segments, and calculating enlarged regions of interest to minimize data size and processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If images are captured at higher magnifications and higher resolutions, then image quality is improved, but data size increases requiring large-capacity memory
Solution Approach 1:
The imaging region is divided into multiple regions, and images are captured and processed in segments rather than as a single large image. This allows the system to handle high-resolution imaging while managing data size through incremental processing of smaller image portions.
Solution Approach 2:
The observation region is extracted and identified from the reduced composite image, allowing the system to focus processing and memory resources only on the relevant portion of the image data, thereby reducing the effective data size that must be held in memory.
2Measurement precision
If images are captured at higher magnifications and higher resolutions, then image quality is improved, but processing speed decreases
Solution Approach 1:
A reduced composite image is generated beforehand from all captured images before identifying the observation region. This preliminary reduction allows faster subsequent processing of the observation region at full resolution, as the search and identification steps operate on smaller reduced images rather than full-resolution data.
Solution Approach 2:
The processing is segmented into distinct stages: capturing all images, generating reduced composite image, identifying observation region, and finally generating the observation image. This segmentation allows each stage to operate optimally on appropriately scaled data.
3Area of stationary object
If a composite image of the entire imaging region is obtained, then complete coverage is achieved, but memory storage capacity increases
Solution Approach 1:
The observation region is extracted from the reduced composite image, allowing the system to generate the final observation image using only the necessary portion of the captured data. This extraction approach maintains complete coverage capability while reducing memory requirements by not holding entire high-resolution composite images in memory simultaneously.
Solution Approach 2:
The system uses a two-dimensional approach with reduced resolution in intermediate processing steps, then reconstructs the full-resolution observation image only for the identified observation region. This dimensional transformation allows complete region coverage to be achieved without requiring full high-resolution data to be stored in memory at once.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
An image generation method generates a plurality of reduced partial images by reducing a plurality of partial images. The reduced partial images are then combined into a reduced composite image. Then, a reduced observation region corresponding to the observation region is detected from the reduced composite image. Then, an observation region that is not reduced is calculated in accordance with the reduced observation region. Thereafter, among the partial images, those that correspond to the observation region are combined into the observation image. This reduces the storage capacity of the memory as compared to the case where the observation region is detected from the composite image that is not reduced. The storage capacity of the memory is also reduced as compared to the case where the composite image of the entire imaging region is generated.