Infrared Image Local Area Contrast Segmentation
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Solution Overview
Problem
Conventional systems fail to optimally visualize and analyze local areas of interest in infrared (IR) images, leading to reduced contrast and cumbersome interaction, especially in handheld devices, due to the need for manual adjustments that affect the entire image.
Innovation Solution
A method and system that allow users to indicate a local area of interest through user input signals, such as gestures, to perform specific image processing operations on selected pixels, enhancing contrast while maintaining optimal visualization for the remaining image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a mapping change is applied to the entire image to improve contrast in a particular local area of interest, then the visualization of that local area is improved, but the clarity of features in other local areas deteriorates
Solution Approach 1:
The image is divided into multiple local areas of interest, each with its own independent mapping parameters. When a user selects a specific local area, only that region undergoes mapping changes while other areas maintain their original mappings, allowing simultaneous optimization of multiple regions without mutual interference
Solution Approach 2:
Different mapping parameters are applied to different local areas of the image based on their specific characteristics. Each local area can have customized contrast and brightness settings tailored to its content, enabling optimal visualization for each region while preserving the overall image integrity
2Measurement precision
If manual adjustments are made to improve local area visualization, then the contrast in that area is improved, but the operation complexity increases
Solution Approach 1:
The system automatically calculates and applies optimal mapping parameters for selected local areas without requiring manual intervention. When a user selects a local area of interest, the system autonomously determines the appropriate contrast and brightness adjustments and applies them immediately, eliminating the need for users to manually tweak multiple parameters
Solution Approach 2:
The system pre-calculates and stores optimal mapping parameters for different local areas based on their characteristics. When a user selects a local area, the pre-computed parameters are instantly applied, avoiding the need for real-time manual adjustment and reducing operational complexity
Data Source
AI summary
Methods and computer systems are disclosed for generating an augmented image. For example, a method may include displaying a captured image on a display, wherein the image comprises image data values representing radiation emitted from an observed real world scene, receiving a user indication indicating a local area of interest as a user input signal via an input device, determining a first set of selected pixels in an displayed image representing an local area of interest based on said user input signal, determining a second set of selected pixels representing remaining pixels in said image excluded from said first set of selected pixels, and generating an augmented image by performing a first image processing operation on said first set of selected pixels and/or by performing a second image processing operation on said second set of selected pixels. Other example embodiments are also provided.