A refined theory of transversely isotropic beam posting inside Winkler foundation is derived without ad hoc assumptions. Based on elasticity theory, the displacement field and stress states of isotropic body are studied. From boundary conditions, the refined theory of transversely isotropic beam posting inside Winkler foundation is given. The approximate equations for the beam under transverse loadings are derived directly from the refined beam theory.

This paper mainly description image enhance based on wavelet transform. The author gave the theory of wavelet analysis, the application of wavelet transform in image enhancement. The impression drawing is given by means of MATLAB simulation. Through tone up to disperse wavelet transform, rebuild coefficient, the siginal of image is more boost up in low contrast section than high contrast section, the margin is distinct.

This paper based on the peculiarity of wavelet transform that its transform only in vacuum region and frequency region, decompose image use the theory of wavelet, obtain a series sub-image of different resolution ratio. The value of higeresolution ratio sub-image is all verge on 0, the phenomenon is more obviously in high frequency, so that, the mainly proportion is low frequency to a image. Use wavelet decomposition get rid of the high frequency, only reservation low frequency, to realize the aim of condensation image. Through the simulation of contradistinctive image of cerebra framework remotion between three-dimensional ultrasonic imaging in course of OPS and MIR preceding OPS validated the feasibility by Matlab.

In the paper, degradation and restoration model is introduced. Image restoration method using inverse filtering and using wiener filtering are studied and implemented. A new method of image restoration is proposed by combining histogram equalization and median filtering. Comparing three methods by MATLAB simulation, the results show that the new method can effectively restore degradation image with comparatively high restoration efficiency.

This paper present a way of pulmonary interstitial pathology diagnosis of computer-aided diagnosis based on wavelet analysis. It is difficult to diagnosis qualitatively in pulmonary interstitial pathology because various lesions of the image analogous and the image interlap. The method based on good time-frequency characters is put. The effectiveness and accuracy of the means is verified through the simulation experiment of denoised image, image segmentation and image characteristics extraction. Along with the further research and application of the wavelet technique, it will have more space that use wavelet analysis in computer-aided diagnosis.