Quantitative Map Quality Evaluation via Vector Conversion
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Solution Overview
Problem
Conventional approaches for evaluating digital maps are inefficient and inaccurate, often relying on visual comparisons that lack quantitative information, making it difficult to effectively compare and assess the quality of different maps representing the same geographical region.
Innovation Solution
The system generates vector maps from image maps, filters out irrelevant portions, and provides quantitative evaluations by comparing vector sets, allowing for precision and recall evaluations to assess the similarity and differences between maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If visual comparisons are used to evaluate maps, then the evaluation process is simple to perform, but the accuracy and quantitative information are insufficient
Solution Approach 1:
The patent replaces manual visual comparison (mechanical human operation) with automated image processing and computer vision algorithms. The system converts maps to grayscale, applies filtering operations, and uses pixel intensity comparisons to objectively evaluate map quality, thereby substituting subjective human visual assessment with precise computational analysis.
Solution Approach 2:
The patent introduces intermediate processing steps including grayscale conversion, filtering operations, and pixel intensity calculations as mediators between the raw map images and the final quality assessment. These intermediaries transform the evaluation process into a quantitative measurement system that provides accurate, objective results while maintaining operational simplicity.
2Productivity
If conventional visual evaluation methods are used, then the process is quick and simple, but quantitative information and detailed analysis are lacking
Solution Approach 1:
The patent performs preliminary actions by pre-processing map images into grayscale format and applying filtering operations before the actual quality assessment. This preparation work enables subsequent automated pixel-by-pixel comparisons to extract detailed quantitative information efficiently, preserving all necessary data for comprehensive analysis.
Solution Approach 2:
The patent creates a digital copy of the map in grayscale format that preserves all essential information while enabling automated processing. This copied representation allows for repeated analysis, pixel intensity measurements, and quantitative comparisons without affecting the original map, thereby maintaining productivity while preventing information loss.
3Measurement precision
If automated image processing is applied to maps, then quantitative evaluation is achieved, but the processing complexity increases
Solution Approach 1:
The patent segments the map evaluation process into distinct, manageable stages: grayscale conversion, filtering operations, pixel intensity calculation, and quality metric computation. Each segment performs a specific function with well-defined inputs and outputs, reducing overall system complexity while maintaining high measurement precision through systematic processing.
Data Source
AI summary
Systems, methods, and non-transitory computer-readable media can acquire a first map that represents a particular geographical region. The first map can be associated with an image map. A first vector map can be generated based on the image map with which the first map is associated. A second map that represents the particular geographical region can be acquired. The second map can be different from the first map and can be associated with a second vector map. One or more quantitative evaluations for at least one of the first map or the second map can be provided based on the first vector map and the second vector map.