This paper presents a novel evolutionary algorithm to image fusion. An original image is divided into blocks with fixed size. According to the idea of the evolutionary algorithm, the image is analyzed using fractal dimension to attain its feature blocks containing edges and textures that are used in the later embedding process and used to form a feature label. The evolutionary algorithm that is the fusion of the feature label and a binary copyright symbol not only represents the copyright symbol, but also reflects the feature of the image. The evolutionary algorithm that is adaptive to the individual image is embedded into the relations between middle-frequency coefficients and corresponding DC coefficients. Experimental results show that this evolutionary algorithm can get good perceptual invisibility, adaptability and security.

Propose an information hiding method to embed information into the FIB, directory structure, short stream, Document Summary Information stream and Data stream of Microsoft Office Word, Excel and PowerPoint documents. Experiment results show that the method has high volume of information hiding and good invisibility. The maximum information hiding rate can reach 30 percent. As the robustness of this algorithm is to be improved, the algorithm can be just applied to detect the change of the original document.

The article presents an approach to the three-dimensional reconstruction of vertebral column based on shape matching. Technique is established on the basis of marching cubes algorithm, through the rotated transformation and perspective projection toward every 3D model of vertebration, the projection drawing which is similar to the corresponding vertebration in the computed tomography is formed. Then, through the matching of the projection drawing and the corresponding vertebration in the CT, we can obtain the experimental result by adjust rotation parameters according to the matching outcome. The last step is to record the rotation parameters α, β and the translation parameters h, v, and by justifying the according parameter of the vertebration model in the standard vertebral column model based upon the circumgyrate of every vertebra and the translation parameters, the post-model of vertebration is reconstructed by means of visualization technology. The experimental result turned out that the reconstructed 3D model has a commendable matching attribute and meticulous accuracy compared with the real spinal column. Even the quality of the experimental CT is not so satisfied, the technique can still process match and reestablish the exact model column.