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。
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。
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。
Edge detection plays a special role in image processing and computer vision. It is one of the most important links in the basic vision processing.
边缘检测在图像处理与计算机视觉中占有特殊的位置，它是低层视觉处理中最重要的环节之一。
Medical image segmentation is an important field in image processing and analysis, and it's the basis for computer assisted diagnosis and clinical treatment.
医学图像分割是医学图像处理与分析的一个重要领域，同时也是计算机辅助诊断与治疗的基础。
Real-time image processing is a hot topic in image processing.
实时图像处理是图像处理领域的一个热点。
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。
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。
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。
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。
This thesis focuses on the ica algorithm and its applications in image processing.
论文围绕ICA算法及其在图像处理中的应用进行了深入系统的研究。
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。
Active contour models have been widely used in image processing and computer vision.
主动轮廓模型已经广泛的应用在图像处理和计算机视觉中。
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。
Singular value decomposition (SVD) has very important applications in image processing.
奇异值分解(SVD)在图像处理中具有极其重要的应用。
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。
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。
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。
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。
Image denoising is one of the key problems in image processing and the basis of image subsequent processing.
图像去噪是图像处理中的关键问题之一，是图像后续处理的基础。
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。
A general technique problem in image processing is how to obtain the real chromatic rendition by color correction.
如何通过颜色校正获得真实的颜色重现已成为图像处理中普遍存在的技术难点。
The detection for small dim targets in image processing field has been the subject of intense investigation for years.
近年来，低对比度图像中弱小目标的检测问题一直是 光学和图像处理领域的研究热点。
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。
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。
Of all the numerous data processing methods, Rough Set Theory is a solution that can play a large role in image processing.
在众多数据处理方法中，粗糙集理论是一种可以在图像处理中起到很大作用的方法。
Image edge detection is one of basic problems in image processing, and is a key step in image processing and image analysis.
图像边缘检测是图像处理的基本问题之一，是图像处理到图像分析的关键步骤。
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。
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。
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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