Clustering based segmentation of text in complex color images

We propose a novel scheme based on clustering analysis in color space to solve text segmentation in complex color images. Text segmentation includes automatic clustering of color space and foreground image generation. Two methods are also proposed for automatic clustering: The first one is to determine the optimal number of clusters and the second one is the fuzzy competitively clustering method based on competitively learning techniques. Essential foreground images obtained from any of the color clusters are combined into foreground images. Further performance analysis reveals the advantages of the proposed methods.     

一种制作铅模的简易模具

以目前油田井下大修作业中普遍使用的铅模为例,介绍了一种制作铅模的模具结构组成、工作原理.通过现场多次使用,证明该模具符合生产现场特点,具有安全、经济、有效的特点.     

Lagrange Duality of Vector Maximization Problem in Banach Space

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Detection of text in images using SUSAN edge detector

Text embedded in images is one of many important cues for indexing and retrieval of images and videos. In the paper, we present a novel method of detecting text aligned either horizontally or vertically, in which a pyramid structure is used to represent an image and the features of the text are extracted using SUSAN edge detector. Text regions at each level of the pyramid are identified according to the autocorrelation analysis. New techniques are introduced to split the text regions into basic ones and merge them into text lines. By evaluating the method on a set of images, we obtain a very good performance of text detection.     

混凝土湿喷机的发展新趋势

介绍了混凝土湿喷机在我国的发展历程,并对当前国内外的湿喷机新产品进行了介绍。最后,指出了湿喷机的发展方向和趋势。     

A New Kind of Artificial Neuron Models

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