Abstract
The rendering effect of known visual image texture is poor and the output image is not always clear. To solve this problem, this paper proposes a visual image rendering based on scene visual understanding algorithm. In this approach, the color segmentation of known visual scene is carried out according to a predefined threshold, and the segmented image is processed by morphology. For this purpose, the extraction rules are formulated to screen the candidate regions. The color image is fused and filtered in the neighborhood, the pixels of the image are extracted, and the 2D texture recognition is realized by multilevel fusion and visual feature reconstruction. Using compact sampling to extract more target features, feature points are matched, the coordinate system of known image information are integrated into a unified coordinate system, and design images are generated to complete art-aided design. Simulation results show that the proposed method is more accurate than the original method for extracting the information of known images, which helps to solve the problem of clearly visible output images and improves the overall design effect.
Highlights
Software design and hand-drawn design are usually used in art design
With the rapid development of multimedia technology, art design is more and more inclined to be combined with computer technology, resulting in various auxiliary design tools and software design functions [1]
At the same time, designing samples using 2D and 3D software design models enrich the creativity of visual effect [2] and can better represent the designer’s design concept and innovative ideas, change the original form of artistic design, improve the working mode of artistic design, and bring earth-shaking changes to traditional artistic design
Summary
With the rapid development of multimedia technology, art design is more and more inclined to be combined with computer technology, resulting in various auxiliary design tools and software design functions [1]. E main objective of visual comprehension is to allow the designers to extract the scene information. In [7], the authors put forward a method of remote sensing image segmentation by combining spectral and texture features, which can improve the segmentation efficiency and accuracy of different objects. Scale decomposition, and multimode feature reconstruction methods are used to realize 2D texture recognition of color images [8].
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