Image Array Data Segmentation for Stable Color Visualization
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Solution Overview
Problem
Current image processing methods struggle to effectively display continuous image array data from sensors, leading to difficulty in observing data due to changing color combinations, which are not easily interpretable by human eyes.
Innovation Solution
A method and device that segment image array data into blocks, compare them to determine differences, and allocate unique color tables to maintain stable color combinations, using a segmentation module, comparison module, and color code allocation module, along with an infinite-loop color table to ensure consistent color representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current image processing methods are used to display image array data, then the data can be converted into images, but the color combinations keep changing making it difficult for human eyes to observe the data clearly
Solution Approach 1:
The patent segments image array data into multiple blocks and assigns different color tables to different blocks. This segmentation allows each block to maintain stable color representation independently, resolving the issue of changing color combinations across the entire image while improving human observability.
Solution Approach 2:
The patent applies different color tables to different blocks of the image array data based on local characteristics. By making the color representation locally adaptive rather than globally uniform, the system maintains stable and meaningful color combinations in each region, improving overall observability.
2Ease of operation
If image array data is processed using traditional methods, then the processing speed can be maintained, but the visualization quality and ease of observation deteriorate
Solution Approach 1:
By dividing the image array data into blocks and processing each block independently with appropriate color tables, the system improves visualization quality without requiring a complete redesign of the processing pipeline. The segmentation enables parallel processing and maintains computational efficiency.
Solution Approach 2:
The patent uses a universal framework that can handle different types of image array data (temperature, distance, spectral intensity, ultrasonic) through a common block-based processing approach with color table assignment, improving ease of observation without significantly increasing system complexity.
3Quantity of substance
If the volume of image array data increases, then more information can be captured, but it becomes very difficult for human eyes to observe the data
Solution Approach 1:
The patent divides large volumes of image array data into manageable blocks, each with its own color table. This segmentation makes it possible to process and visualize large datasets by breaking them down into smaller, more manageable units that can be easily observed and interpreted by human eyes.
Solution Approach 2:
The patent employs color tables to represent different numerical values in the image array data through distinct color combinations. By assigning specific color tables to different blocks, the system transforms large volumes of numerical data into visually distinguishable color patterns that are easy for human eyes to observe and interpret.
Data Source
AI summary
A method for processing image array data is provided, which may include the following steps: providing the image array data detected by a sensor at a first time point and including a plurality of first blocks, and each of the first blocks has a color table corresponding thereto; segmenting the image array data detected by a sensor at a second time point into a plurality of second blocks; comparing the image array data of each first block with the image array data of each second block to generate numerical difference information; and respectively allocating the color tables corresponding to the first blocks to the second blocks matching the first blocks according to the numerical difference information.