Abstract
As an effective information carrier, image is the main source for human beings to obtain and exchange information. Therefore, the application field of image processing involves all aspects of human life and work. Image enhancement is an important part of image processing and plays an important role in the whole process of image processing. This paper mainly studies the image enhancement method based on partial differential equation. By analysing the combination of partial differential equation theory and enhancement, aiming at the shortcomings of low recognition accuracy, high error rate, and long time consuming in the current method of urban planning image feature recognition, a feature enhancement and simulation of urban planning image based on partial differential equation method is proposed; the preprocessing of urban planning image is realized by collecting the urban planning image. On the basis of preprocessing the urban planning image, the urban planning image is divided into several equal area subareas; the pixel gray value of each subarea and the average value of pixel distribution density of node landscape image are calculated; and whether the pixel points are at the edge of urban planning image is judged by setting the comprehensive mean threshold. According to the judgment results, the high difference features of urban planning images are intelligently recognized. Simulation results show that the proposed method can realize efficient and accurate recognition of high difference features in urban planning images.
Highlights
With the rapid development of multimedia digital video technology, digital image processing is more and more widely used in aerospace, national defence, monitoring, national life, multimedia technology, and other fields
This paper mainly studies the feature enhancement and simulation of urban planning image based on partial differential equation, improves the existing methods, and puts forward its own views and transformation functions to achieve a good image enhancement effect [5]
In order to verify the reliability of urban planning image feature enhancement based on partial differential equation method, the simulation experiment uses OpenCV Library in Intel Core i7 CPU, 2.26 GHz, 4 G RAM environment
Summary
With the rapid development of multimedia digital video technology, digital image processing is more and more widely used in aerospace, national defence, monitoring, national life, multimedia technology, and other fields. Image enhancement is an important mean to improve image quality and visual effect, which provides good conditions for image subsequent processing and video tracking. This paper mainly studies the feature enhancement and simulation of urban planning image based on partial differential equation, improves the existing methods, and puts forward its own views and transformation functions to achieve a good image enhancement effect [5].
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