Shape recognition of object is important research direction in pattern recognition, and is widely used in image analysis, machine vision and target discrimination.
物体的形状识别是模式识别的重要方向，广泛应用于图像分析、机器视觉和目标识别等领域。
An improving noise eliminated difference template based on the analysis of object and background gray value also has been developed to eliminate the low frequency noise in image.
对图像中的低频噪声，基于对图像中目标与背景灰度值特点的分析，提出了改进的差分去噪声模板。
Shape recognition of object is one of the important directions in pattern recognition, and is widely used in image analysis, machine vision and target discrimination, etc.
物体的形状识别是模式识别的重要方向之一，广泛应用于图像分析、机器视觉和目标识别等领域。
Location and edge detection of the target object is crucial in the medical image processing and it is the base of quantitative analysis and aid diagnosis.
在医学图像的处理中，目标对象的定位和边缘提取至关重要，它是定量分析和辅助诊断的基础。
The modern communication theory is used in the analysis of imaging systems. The object information density model is built for analogue and digital image respectively.
应用现代通信理论对成像系统进行了分析，建立了模拟和数字图像的目标信息密度模型。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
肤色检测、皮肤的纹理分析检测、目标区域的分割、图像特征的提取、分类器的设计。
It is significant and meaningful to precisely extract object boundary in medical images in the realm of image processing and analysis, as well as the field of medical application.
准确提取医学图像中目标的边界在图像处理分析和医疗应用领域具有重要意义。
Separating the moving object quickly and accurately from the background is a basic and key technology for further image analysis and processing.
而把运动目标从背景图像中快速、准确的分离出来是对图像进一步分析处理的关键和基础。
The method to produce the result with maintained character, which is used to extract system's image object is introduced through statistic studies and theoretical analysis for a large number of rea...
利用直方图对大量图像的统计研究和理论分析，介绍系统的图像目标的提取方法，利用该方法对目标的提取保持其特征图形，对实际图像的处理结果说明该方法是有效的。
Through the analysis of the features of bridge object in long range IR image, a new recognition algorithm based on knowledge framework is put forward.
针对远距红外图像中桥梁目标的特征，提出了一种基于知识框架的桥梁目标识别算法。
Nowadays, texture image analysis and classification is widely used in blemish locate, object recognize, image search, remote sensing image analysis and other fields.
现在对于纹理图像的分析和分类广泛用于瑕疵定位、景物识别、图像检索、遥感图像分析等多个领域。
In addition, an analysis object provides methods for data processing, and an image object enables the visualisation of microarray data.
此外，一个分析对象提供了用于数据处理的方法，及一个图形对象使得能够进行微阵列数据的可视化。
This paper presents a method which can be used for the shape analysis of two-dimensional image of a moving object in terms of the fast transformation (r transformation).
本文提出了将一种快速变换(r变换)用于对运动目标的二维图象进行形状分析的方法。
It has huge signification to auto extract information of linear terrestrial object such as road, bridge, river and coastline from SAR image using computer in SAR image analysis.
在SAR图像分析中，如何利用计算机自动提取道路、桥梁、河流、海岸线等线性地物信息，具有重要的军用及民用意义。
Based on the proposed approach, we take advantage of Object-Oriented Analysis and Design methodology to establish an image recognition system.
依据本文所提出的方法，使用面向对象的分析设计方法，建立了图像识别系统。
Result: a method of remote sensing image mining basing object-oriented image analysis is presented.
结果：提出了基于面向对象遥感图像分析法的遥感影像信息挖掘方法。
Then we use the technology of image analysis and image division based on the edge to extract the main object and to recognize (classify) the visual characteristic.
然后利用图像分析技术，采用基于边缘的图像分割方法，提取图像的主体区域并进行视觉特征提取与（分类）识别。
Through analysis the words between subject and object, we study the impacts of tourism gaze in tourists motivations and tourism destination image-building.
从而通过对凝视主客体之间的话语解读分析，研究在旅游图文传播中，对于旅游者行为动机和旅游目的地形象建设产生的影响。
"Pattern recognition and image processing summer camp" consists of three main themes: 1 Visual Surveillance and Object Tracking 2 Kinect-based Object recognition 3 image processing and Analysis.
“2014模式识别与图像处理夏令营”包含三大主题：1视觉监控与物件追踪；2基于Kinect的物体识别；3影像处理和分析。我们为每个主题设计了一整天的活动，包括讲授与实验课程。
"Pattern recognition and image processing summer camp" consists of three main themes: 1 Visual Surveillance and Object Tracking 2 Kinect-based Object recognition 3 image processing and Analysis.
“2014模式识别与图像处理夏令营”包含三大主题：1视觉监控与物件追踪；2基于Kinect的物体识别；3影像处理和分析。我们为每个主题设计了一整天的活动，包括讲授与实验课程。
应用推荐