In realistic image processing, it is a problem of image foreground extraction. For a large number of color image processing, an important requirement is the automation of the extraction process. In this paper, by automatically setting foreground seed, we improve the image existing segmentation algorithm; by automatically searching image segmentation region, we accomplish image segmentation with the GrabCut algorithm, which is based on Gaussian Mixture Model and boundary computing. The improved algorithm in this paper can achieve the automation of image segmentation, without user participation in the implementation process, at the same time, it improves the efficiency of image segmentation, and gets a good result of image segmentation in complex background.

Aiming at the problem that the traditional tracking method cannot track high speed high maneuvering target effectively, one modified fixed structure multiple model algorithm (M-FSMM) and one modified variable structure multiple model (M-VSMM) algorithm were proposed. The Constant Velocity (CV) model, Current Statistical (CS) and Modified Coordinate Turn (MCT) model were adopted in the M-FSMM algorithm, by means of Connected Graph (CG) thinking, the model connected graph was made up by models that can describe possible motion, the connected relation was set up and model self-adapting was designed to carry out the variable structure tracking that can quickly jump between models. Monte Carlo simulation results show that the two methods can track high speed high maneuvering target effectively, the computational quantum of M-FVMM algorithm is larger but the tracking accuracy and stability are better than the M-FSMM algorithm. They can be used to track near space hypersonic targets.

Due to the lack of effective modeling and analysis methods for testability of complex electronic system, a testability index model is established to resolve this problem. First of all, the existing testability demonstration test and evaluation method are analyzed. On this basis, testability indexes statistical models based on the binomial distribution, or Beta distribution and F distribution are established. What’s more, the relationship and principle between the fault detection or isolation data and the confidence level are analyzed in these models. Finally, the result of simulation shows that these models are practical and effective, which provides a new way of effectively analyzing and evaluating testability indexes of complex electronic system.

Due to the problem that test signals is difficult to describe and analyze in the microprocessor (CPU) and digital signal processor (DSP) circuit, this paper come up with a matrix base method to describe program signal and instruction signal, thus in theory solve the above problem. In the proposed method, simple hardware circuits can be used to produce different test signal needed in the test and diagnose of CPU circuit.

According to the facts that similar measure between vague set is based on the distance measure mostly, A new similarity measure between vague sets based on information similarity coefficient is presented ,which can satisfy the axiom definition of similarity measure between vague sets. Finally ,an application in the field of content-based recommendation system of electric commerce is given .The example shows that the methods is practical and effective and can improve the quality and accuracy of the recommendation．