No abstract

Threshold technique is one of the important techniques in image segmentation. Various thresholding segmentation techniques such as histogram, grayscale expectations, Otsu, maximum entropy and iterative are studied and compared by using Matlab 7.0. Experimental results show that the iterative method can perform well and get a better result than the other thresholding segmentation methods.

In this article should be noted that the accuracy of determining the viscosity of the flow is particularly low in the highly elastic with state of the polymer. It is therefore very important to identity the viscosity of the flow, which has great practical significance. solidity can be changed as a result of intermolecular interaction which can be observed in the process of polymer swelling, which means improving its chain flexibility and lowering the temperature of vitrifying. It should be noted that the processing of the experiment showed no pronounced dependence of the voltage, so it is under-read as the average results for all levers of the stress at a fixed temperature. Processed a method for determining the viscosity of polymer materials, which allows you to divide segmental strength and toughness of the true flow.

Image fusion algorithm is very important in image fusion process. Image fusion algorithm based on pyramid decomposition was reviewed in this paper. Pyramid decomposition algorithm mainly includes Contrast pyramid, Gradient Pyramid, Laplacian Pyramid and Ratio Pyramid. The fusion algorithms based on pyramid decomposition were respectively applied in multi-focus images, advantage and disadvantage were summarized and application was given. Fusion results were given by MATLAB simulation. Objective evaluation index including of mean, standard deviation, entropy and average gradient was calculated in this paper. Image fusion algorithm should be selected according to the information extracted and the aim of fusion.

This paper presents an algorithm for blind and visually impaired people to track their location. A precise positioning system utilizes UWB RFID tags for localization to mark points of interest. Given the joint estimation of TOA and DOA from blind person to station, a robust algorithm based on the extended filter is presented to accurately estimate their current location and moving velocity. This method is effective to the no-Gaussian or biased system model with unknown or not fully known observation error statistics.