Image Region Classification Visualization via Dimensionality Reduction
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Solution Overview
Problem
Existing image processing methods are time-consuming when identifying areas in an image that require close inspection, particularly where the classification result is low in likelihood.
Innovation Solution
An image processing apparatus that acquires classification results for regions in an image, converts multidimensional data into low-dimensional data, and displays regions with plotted diagrams using different colors or patterns based on classification results, allowing for easy identification of selected points and regions with low likelihood.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection of image regions is performed to identify areas requiring close inspection, then classification accuracy can be achieved, but time consumption increases significantly
Solution Approach 1:
The image is divided into multiple regions, and each region is processed independently through classification. The regions are then visualized separately in the plotted diagram, allowing parallel processing and reducing overall inspection time while maintaining classification accuracy for each region
Solution Approach 2:
The patent transforms the inspection process from a two-dimensional image view to a three-dimensional plotted diagram that includes classification results as an additional dimension. This allows inspectors to quickly identify regions requiring close inspection by visualizing classification likelihoods in the plotted diagram before examining the original image, significantly reducing time consumption
2Loss of information
If multidimensional data is visualized without dimensionality reduction, then data detail is preserved, but visualization complexity and processing time increase
Solution Approach 1:
The patent applies dimensionality reduction to convert multidimensional region data into two-dimensional coordinates for plotting. This reduction enables efficient visualization while preserving essential classification information, balancing data detail retention with visualization simplicity and processing efficiency
Data Source
AI summary
An image processing apparatus according to an embodiment includes a processor. The processor acquires a classification result of classifying each of a plurality of regions set in a processing target image into one of a plurality of predetermined classes. The processor converts multidimensional data corresponding to each of the plurality of regions set in the image into low-dimensional data. The processor causes a display image including one or more regions to be displayed together with a plotted diagram including a plurality of plot points having different colors or patterns applied according to the classification result to the low-dimensional data in each of the plurality of regions, and in a case where an instruction for selecting a selected point from among the plot points is issued, the processor performs a discriminative display causing the selected point and a region corresponding to the selected point in the display image to be visually identifiable.