基于手繪草圖的圖像檢索技術與算法實現
[Abstract]:With the expansion of image in digital image library and the popularization of high-tech hardware such as touch-screen mobile phone and tablet computer, the technology of image retrieval in graphic search has gradually entered into people's life. In recent years, more and more scholars at home and abroad pour into the research of hand-drawn sketch retrieval system, and have achieved certain results. Image retrieval technology has experienced a leap-forward development from text retrieval to image-based keyword retrieval and to hand-drawn sketch retrieval. In the sketch retrieval system, people can simply outline the target image on the drawing board provided by the system, and then the system will deal with the sketch edge extraction, contour tracking, feature point assignment, feature conversion, similarity matching and so on. Finally, several target images with high similarity are provided for users. In the process of searching the target image, the main basis of user search is the shape information of the image, which is also in line with the characteristics of human eye observation. Therefore, in the sketch retrieval system, only the contour features of the image are considered, but the color and texture features of the image are not considered. On the basis of studying the advanced sketch retrieval technology at home and abroad, this paper improves the relevant algorithms of sketch retrieval, and designs a new image retrieval system. Firstly, according to the characteristics of user input sketch, the sketch preprocessing module is added. Secondly, this paper compares a large number of edge detection algorithms, and innovatively improves the five-neighborhood tracking method proposed by Wang Fusheng and others, and proposes a three-neighborhood tracking method in the direction of x axis and y axis. The improved three-neighborhood tracking method not only reduces the time consumption of the system, but also improves the accuracy of contour tracking. Then, the shape context algorithm and Fourier transform are combined to make the improved shape context algorithm rotation-invariant, which solves the problem that image offset will reduce the retrieval accuracy. Finally, according to the improved algorithm, a small hand-drawn sketch retrieval system is designed, and a small image library with 300 images is used to carry out experiments, and good results are obtained.
【學位授予單位】:山東師范大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TP391.41
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