Exposure Time Determination via Pixel Threshold Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining optimal exposure time in image acquisition are either complex, inaccurate, or require a labor-intensive trial-and-error process, often leading to over- or under-exposed images, especially in life science research where precise pixel intensity measurement is crucial.
Innovation Solution
A system and method that analyze a preliminary image to determine the optimal exposure time by calculating the number of pixels exceeding a threshold value, allowing for accurate projection of image quality and enabling user adjustment, thereby minimizing equipment usage and improving image capture efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If trial-and-error method is used to determine optimal exposure time, then image quality can be improved, but labor intensity and equipment usage time increase significantly
Solution Approach 1:
The patent applies preliminary action by capturing a test image at a predetermined exposure time before the actual imaging process. This test image is then analyzed to calculate the optimal exposure time for the final image, eliminating the need for repeated trial-and-error exposures and reducing equipment usage time while maintaining image quality.
2Measurement precision
If multiple images are captured at different exposure times to find optimal settings, then accurate pixel intensity measurement can be achieved, but productivity decreases
Solution Approach 1:
The patent uses a test image as a copy or proxy to determine the optimal exposure time for the actual image. By analyzing pixel intensity values in the test image and applying the calculated exposure time ratio, the system can predict and achieve accurate pixel intensity measurement in the final image without capturing multiple test images, thus improving productivity.
3Extent of automation
If complex automatic exposure methods are used, then exposure determination can be automated, but measurement accuracy and reliability decrease
Solution Approach 1:
The patent implements feedback by analyzing the pixel intensity values from the test image and using this information to calculate the optimal exposure time for the actual image. The system counts pixels exceeding a threshold value in the test image, determines the exposure time ratio, and applies this to set the final exposure time, providing accurate and reliable automated exposure determination.
Data Source
AI summary
A method for creating a projected image including capturing an image of an item or data relating to an image of an item with an image capture device having a plurality of light sensing units, at a first exposure time. The method further includes receiving as an input or determining a second exposure time, and creating a projected image of the item at the second exposure time based upon the captured image or the captured data relating to the image.