At present, the technique of trademark image retrieval based on multi-feature combination of the shape mainly includes single-feature global matching or local matching and multi-feature matching, which is playing a more and more important role in the area of the trademark image retrieval. In this paper, due to the deficiency described by some single shape-based features, the technique of the multi-feature combination trademark image retrieval is proposed based on the region and the edge of a shape. Firstly, a trademark image is segmented with region growing, then low order Hu moments and eccentricity are extracted on the resulting region, which is able to express the local information of the image; Secondly, there is an extraction of Compactness and Convexity, which describe the global feature of the image, on the edge extracted with Canny. At last, the combination of the multi-feature is applied to get a Euclidean distance. Good results have been obtained in the following experiment, which proves the multi-feature combination way is better than other single-feature ways.
The information hiding is a technology of hiding the message that you want to send into the multimedia carrier signals secretly, realizes hidden communication or identification ultimately. XML is the format of information exchange on the Internet. It has received a wide range of applications and supports once be proposed. In this paper, several text information hiding methods are analyzed based on the structures and characteristics of the XML documents. At last, the paper realizes the information hidden by applies to the method of changing the mark letter case.
There is no doubt that the technique of trademark image retrieval based on multi-feature is increasingly popular. It’s proposed that a combination of the feature of spatial relationships and shape-based is used to retrieve trade mark images in this paper. Firstly, angle relations describe the relationship each spatial object and a special similarity measure is used; Secondly, in order to well describe the shape features of the trademark images, a Euler-number of shape-region-based and compactness and convexity based on shape-contour are proposed; Thirdly, the similarity measure of an inquiring image and database images in the total number of objects is applied with the combination of multi-feature. Good results have been obtained in the following experiments, which prove the multi-feature combination way is better than other single-feature ways.
The traditional method to introduce the design of big tree fractal graphics is to give fixed graphics in black color. In this paper, a new learning environment of triangle fractal graphics based on E-Learning is proposed, development of which is also introduced in detail. In this new learning environment, students can repeat drawing the colorful big tree fractal graphics with single color or random color, which may arouse the students' interests and attract their attentions. By the learning environment, the fractal limitation or fixed point can be seen, and two different kinds of big tree can be got when the IFS code is changed, which will do benefit to students' learning concepts of fractal graphics. By this new learning environment, it is very easy for students to grasp the programming procedure of fractal graphics, and understand the generation procedure and structure of triangle fractal graphics.
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