Dynamic Threshold Masking for Projection Image Detection
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Solution Overview
Problem
Existing subject detection methods, such as JP-A-2012-99070, rely on pre-defined threshold values, making it difficult for users to adjust the detection region according to their sensitivity, leading to potential misidentification of the intended detection area.
Innovation Solution
A displaying method that allows users to input a threshold value to generate a mask region or non-mask region of an image, enabling the superimposition of a projection image to accurately define the display area, allowing for easy adjustment of the detection region based on user sensitivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a pre-defined threshold value is used for subject detection, then the detection process is simple and fast, but the detection region cannot be adjusted according to user sensitivity requirements
Solution Approach 1:
The patent implements dynamic threshold adjustment by allowing users to input custom threshold values rather than using fixed pre-defined thresholds. The system dynamically adapts the detection region based on the user-input threshold, enabling flexible adjustment of detection sensitivity without requiring complex hardware modifications. This resolves the contradiction by making the detection system adaptable to different user needs while maintaining operational simplicity.
Solution Approach 2:
The patent changes the threshold parameter from a fixed pre-defined value to a user-input variable. By allowing users to specify custom threshold values, the system can adjust the detection region boundaries dynamically. This parameter change enables the detection region to be flexibly adjusted according to user sensitivity requirements without adding significant system complexity.
2Measurement precision
If a fixed threshold value is used for subject detection, then the system is simple to implement, but the detection accuracy does not match user sensitivity requirements
Solution Approach 1:
The patent enables users to self-determine the appropriate threshold value based on their own sensitivity requirements. Instead of the system imposing a fixed threshold, users actively participate in setting the threshold that best matches their detection needs. This self-service approach improves detection precision alignment with user expectations while maintaining ease of operation through direct user input.
Solution Approach 2:
The patent incorporates a feedback mechanism where users can input threshold values and immediately see the effect on the detection region through visual display. This real-time feedback allows users to adjust the threshold to achieve the desired detection precision, creating an iterative process that aligns the detection results with user sensitivity requirements.
3Adaptability or versatility
If the detection region is fixed, then the processing speed is high, but the adaptability to different user needs is poor
Solution Approach 1:
The patent makes the detection region dynamic by allowing it to change based on user-input threshold values. The system can adapt the detection region boundaries in real-time according to different user needs while maintaining efficient processing. This dynamic adjustment capability resolves the contradiction between adaptability and processing speed by enabling flexible region definition without requiring complex reprocessing.
Data Source
AI summary
A displaying method including receiving an input of a threshold value, generating, by using the threshold value, a second image showing a mask region of a first image that is a region where an input image is displayed or a non-mask region of the first image that is a region where the input image is not displayed, and displaying a projection image obtained by superimposing the second image on the input image.