• Image segmentation is one of the most basic areas in image processing.

    图像分割是图像处理中最为基础的领域之一。

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  • Edge detection is a basic technique in image processing and computer vision.

    图像边缘检测是图像处理和计算机视觉中的基本技术。

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  • Mathematical morphology is applied widely in image processing and pattern recognition.

    数学形态学广泛应用于图像处理和模式识别领域。

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  • The denoising of a natural image corrupted by Gaussian noise is a classical problem in image processing.

    如何去除自然图像中的高斯白噪声是图像处理中的一个经典问题。

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  • Image segmentation means extracting interested objects from an image, and it is one of the key issues in image processing.

    图像分割技术用于提取图像中感兴趣的目标,它是图像处理中十分重要的研究内容之一。

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  • Clustering is a fundamental operation in image processing.

    聚类是图像处理中的一个基本操作。

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  • Image denoising has always been a hot issue in image processing.

    图像去噪问题一直是图像预处理的热点问题。

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  • Image zooming is one of the essential topics in image processing.

    图像放大是图像处理的一个重要组成部分。

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  • Texture analysis is one of important methods in image processing.

    纹理分析是图像处理中一种十分重要的方法。

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  • Image fusion is the one of the key technologies in image processing.

    图像融合是图像处理中的关键技术之一。

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  • This paper presents an algorithm of edge detection in image processing.

    提出了一种新的适用于灰度图像的边界检测熵算子。

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  • Analyzing the histogram of image is a useful method in image processing.

    分析图像的直方图是图像处理中的一种常见的方法。

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  • Theauthors sum up their experience in image processing by using the AIPS.

    作者根据自己的实际工作,总结了用AIPS进行图象处理的经验。

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  • The PCNN implementation and applications in image processing were discussed.

    讨论了PCNN的实现方法及其在图像处理中的应用等问题。

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  • Infrared image edge detection is one of the difficult problems in image processing.

    红外图像的边缘检测是图像处理领域的难题之一。

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  • Image segmentation is a key technique in image processing and computer vision field.

    图像分割一直是图像处理和计算机视觉领域中的一项关键技术。

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  • Image segmentation is the basic and challengeable problem in image processing field.

    图像分割是图像处理中最基本且具有挑战性的问题。

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  • The use of Partial Differential Equations in image processing is a new research topic.

    偏微分方程在图像处理中的应用是一个比较新的课题。

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  • The grayscale morphology in image processing technique is applied to animal fiber image.

    利用图像处理技术中的灰值形态学方法,对动物纤维图像进行处理。

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  • Quadtree coding is currently a valuable method in image processing and computer graphics.

    四叉树编码方法是目前图象处理和计算机图形学中的一种有效方法。

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  • Also, Medical image segmentation is the foundation and difficulty in image processing and analysis.

    医学图像分割,也是医学图像处理和分析的基础与难题。

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  • The pixel labeled algorithm is an effective method to obtain the objects s feature in image processing.

    像素标记算法是图像处理中提取目标特征量的一种有效方法。

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  • The maximum entropy approach is one of the most important threshold selection methods in image processing.

    最大熵原则是图像处理中阈值选择的最常用方法之一。

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  • Colorization of grayscale image is in general an active and challenging area of research in image processing.

    黑白图像的彩色化是图像处理领域一个活跃的、有挑战性的研究课题。

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  • First is FPGA. The increment of chip density and improvement of software makes it used more widely in image processing.

    第一种是FPGA,由于不断增加的芯片密度和改进的软件工具,使得它在图像处理中的应用越来越广泛。

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  • Image enhancement is an important technique in image processing, Linear enhancement is necessary in beef image processing.

    图像增强是图像处理中非常重要的一种技术,线性增强技术在牛肉图像处理过程中必不可少。

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  • Image registration is a fundamental task in image processing. It is the basic step for multi-image analysis of the same scene.

    图像配准是图像处理领域的一个基本问题,它是同场景的多图像分析的基础。

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  • Image multiscale edges are important features for image representation. It has been used in image processing and computer vision.

    图象多尺度边缘是图象的重要特征,已广泛应用于图象处理和计算机视觉等多个领域。

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  • Image multiscale edges are important features for image representation. It has been used in image processing and computer vision.

    图象多尺度边缘是图象的重要特征,已广泛应用于图象处理和计算机视觉等多个领域。

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