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The cell image segmentation has very high practical significance in medical diagnosis. But the cell image has the problems of accretive cells, incoherent cell boundary, and the internal cavity that make it difficult to image segmentation. In this paper, a watershed algorithm based on distance transform is proposed to solve images of cells adhesion. Firstly, image enhancement is carried out as the...
The images of outdoor scenes obtained in haze, fog and other weather days are usually have poor contrast and color fidelity. In this paper, in order to effectively improve the degraded image in haze quality, reduce the effect of the haze to outdoor traffic video monitoring systems, we analyzed the image degradation reason and fuzzy mechanism of image in haze. From the viewpoints of image restoration...
This paper studies a new method of texture image classification using the combination of frequent 2-itemsets and statistical features based on the discrete wavelet transform (DWT). DWT is firstly used to decompose images into different scale subbands. Then features differentiating textures for classification are extracted from these subbands. Frequently occurring local structures in images are captured...
Despite the strong ability to description, OWL-S is a non-formal language and cannot verify whether there are livelock, deadlock, service compatibility and other issues. This paper seeks to use Pi-calculus to formalizing OWL-S, and transform the description of workflow patterns based on OWL-S into the description of workflow patterns in term of Pi-calculus.
Bioinformatics has grown about thirty years. Especially in the past ten years, the field developed in leaps and bounds and emerged many research works. Whether as a novice, or a famous scholar, would like to be able to glimpse the research situation of this field, and get an intuitive and quantified understanding. This article aims to use new machine learning techniques to mine the literatures in...
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