A method for evaluating the quality of topographic map schema

Abstract

The invention discloses a topographic map schema quality evaluation method, and the method comprises the steps: (1) a data source is acquired, which means to obtain the to-be-processed data, identify the data type of the data and input the obtained data to a data processor; (2) the data pre-processing is performed according to a reference image; (3) the effective pairing of the topographic map border angular points is formed according to the Harris angular point detection of spatial constraint, and image automatic correction is realized; (4) a point-shaped vector control file is manufactured according to the reference image and the national basic scale topographic map schema; (5) the symbol color value automatic detection is performed based on the spatial buffer analysis; (6) the symbol pattern automatic detection is performed based on the GrabCut segmentation algorithm; (7) and the topographic map schema quality evaluation is performed according to the automatic detection results of the symbol color value and the symbol pattern. The method has little influence caused by image resolution and object integrity, so that the reliability is relatively high.

Description

technical field [0001] The invention belongs to the technical field of schema quality evaluation, and in particular relates to a topographic map schema quality evaluation method. Background technique [0002] Image quality assessment methods have wide application value in the fields of image processing, computer vision, and system engineering. Image quality assessment methods can be divided into two categories: subjective quality assessment methods and objective quality assessment methods. The subjective quality evaluation method refers to allowing the observer to judge the quality of the test image according to the visual or subjective impression according to some predetermined evaluation scales or their own experience, and give a quality score. However, the subjective quality evaluation method is often affected by the observer's own factors, and it often takes a long time to perform a visual psychological test, which has certain restrictions on the observation environment....

AI Technical Summary

Problems solved by technology

[0007] Traditionally, the evaluation of image color features is a description of the image as a whole, and is affected by all pixel values ​​in a certain area of ​​the image, and cannot reflect the influence of rotation and scaling changes of a specific block of the image, so it cannot accurately obtain the image Local unit features, so a single color feature cannot be used as an indicator of image quality

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