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In this paper, an image segmentation method using automatic threshold based on improved genetic selecting algorithm is presented. Optimal threshold for image segmentation is converted into an optimization problem in this new method. In order to achieve good effects for image segmentation, the optimal threshold is solved by using optimizing efficiency of improved genetic selecting algorithm that can...
In this article, BP network learning algorithm is improved by using momentum and genetic algorithm after analyzing the defects of the BP network learning algorithm. So the convergence rate of BP network is speeded up greatly. The vehicle license plate character image is segmented and feature is extracted by edge detection using sobel operator. And then license plates of cars are automatically recognized...
In this article, BP network learning algorithm is improved by using momentum and genetic algorithm after analyzing the defects of the BP network learning algorithm. Wavelet multi-scale edge detection is used to segment the vehicle image and extract the feature of the image. And then the features of moment invariants and improved BP neural network models are used to automatically recognize and classify...
A global binarization methods of the passport image based on global iterative threshold and local analysis is put forward in this paper after several binarization algorithms of document image are deeply studied according to the characteristics that passport image documents are obviously affected by the complex image background and the shading grid security-lines. Model of the method is simple, and...
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