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。
Due to the HT, the system is very effective in recognizing object in an image with noise, gaps and complicated background.
由于利用了HT，使得整个系统对于有噪声、目标残缺、背景复杂的目标图像具有较强的识别能力。
The method defines different member function for the object and background of the image to transform the image into fuzzy domain with maximum fuzzy entropy.
该方法将图像分为目标和背景，并分别建立相应的模糊隶属函数来描述图像各个灰度级属于目标和背景的模糊特性，进而给出图像模糊熵的描述。
But SAR image is liable to be affected by speckle noise, while almost spectral image have shortcomings of low contrast between object and background, edge blurring.
但SAR图像容易受到相干斑噪声的影响，而光谱图像普遍存在目标与背景对比度差、边缘模糊的缺点。
Using minimum error method. Which belongs the global threshold, to attain binary image, so that background and object are distinguished.
采用全局阈值中的最小误差方法对图像进行二值化，以区别开背景和目标。
The effect of natural background and noise in infrared image, fuzzy edge of infrared object, make it difficult to segment and label artificial object in natural background.
自然背景复杂的纹理特征和红外图像中的噪声影响，以及红外目标模糊的边缘，给红外目标的边界检测和分割带来一定的困难。
It is natural that the image under observation is divided into the object and background parts by the human vision.
人眼在观察一幅图像时，总是很自然地将图像分成目标和背景。
Secondly, detailed design of the image information processing module was given according to the requirements of moving object detection in a stationary background.
其次，根据静态背景下运动目标检测的要求，对图像信息处理模块进行了详细设计。
Finally, a global thresholding can be applied to the enhanced image to obtain the object from the background.
在增强图像上应用全局阈值化从背景中获得目标。
The problem that the small object was difficult to segment from the large background was solved effectively by adopting image incision technology.
采用图像切割技术，有效解决了弱小目标在大背景下分割难的问题；
This paper proposes an image segmentation algorithm using deformable template to segment an interesting visual object from the stationary complex background.
提出一种基于原型的可变形模板进行图像分割的算法，从而可以将感兴趣的视频对象从静止的复杂背景中提取出来。
When using the method to recognize circular object in complex background from SPOT image, the experiment suggests the method gain excellent effect.
实验表明，该方法对复杂背景的SPOT图象上似圆状目标识别取得了良好的效果。
This thesis mainly deals with the infrared target detection under complex background, which is achieved by the methods of image enhancement, image segmentation and object recognition.
本文主要研究了复杂背景下红外成像的目标检测问题，通过红外图像的增强、分割以及目标识别等手段实现目标的可靠检测。
After scanning the object image and labeling the connected component, the background and foreground noise could be removed easily by threshold value area expunction.
该方法仅需对图像作一次全扫描即可标记物体所有连通部分，统计标识号，根据阈值面积消除法即可快速去除图像中所有前景和背景噪声。
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。
Firstly build a background image in the complex background with a moving object and obtain initial object contour from the current image by frame-difference.
首先利用自适应的背景提取算法从带有运动目标的复杂背景中构建背景图，并提取出运动目标轮廓。
The results demonstrate that the irradiance on object, backscattering and signal irradiance on photo-cathode are increased and the image contrast between object and background is decreased.
结果是目标上的照度、后向散射光和信号光在光电阴极面上的照度增加，目标与背景图像的对比度降低；
This paper presents a quick object image segmentation algorithm based on adaptive threshold against infrared object images in complex background.
针对复杂场景中的红外目标图象，本文提出了一种基于自适应阈值面的目标图象快速分割算法。
Taking the tread in alibi as object, this thesis introduces some knowledge about image processing and pattern recognition, and extracts characteristic feature in complex background.
本文以犯罪现场遗留足迹为对象，阐述了图像处理和模式识别的相关知识，实现复杂背景下的对象特征提取。
Tiny changes in a moving object can be detected by rebuilding the image background using the algorithm and calculating the ratio of pixel changes by means of the difference image algorithm.
用此算法重建背景图像以及用图像差分算法计算像素改变比例，能监测慢速、微量变化的运动物体。
It compares the current image with its own background model of the scene and checks out discrepancies for matches with criteria such as location, duration, and object size (corrected for perspective).
使当前的影像与背景模拟场景相比较，以确定出匹配的标准，例如：地点、经过、目标大小(纠正过的远景)。
This subject is to study the SMT adaptive light background, selecting an image based on digital signal processor processing system as the research object, and having strong practical significance.
课题以贴片机自适应光源为研究背景，选择基于数字信号处理器的图像处理系统为研究对象，具体较强的实际意义。
The algorithm can quickly and precisely mark the moving object and its trail by functions of image enhancement, morphological operation, and interframe background subtraction.
该算法运用图像增强、形态学操作、图像差分法，能快速准确标注出移动的物体及其移动轨迹。
The Map Settings section of the dialog controls the view level at (and beyond) which the "Background Image" option will be displayed on the right-click menu for an object.
星图设置用于选择在高于哪一个查看等级的时候，“背景图像”选项会才出现在鼠标右键菜单中。
Firstly, moving pixels was extracted by using difference image algorithm, then motion object and moving background were distinguished by the change frequency of pixel state.
针对复杂背景下弱点目标的检测问题，提出一种基于形态学处理和帧间差分相结合的红外点目标检测算法。
The single-frame object detection algorithm detects the different character between the object and the background and use the information in a single image to separate the object and the background.
目标单帧检测算法利用单帧图像内部信息，根据图像平面内目标和背景特征的差异，对目标和背景进行分离。
The result of test shows that the new method works well in real-time, restraining noise and background image, maintaining object image detail.
实验结果表明该方法实时性好，抑制了噪声和背景信息的同时保持了目标细节信息。
The result of test shows that the new method works well in real-time, restraining noise and background image, maintaining object image detail.
实验结果表明该方法实时性好，抑制了噪声和背景信息的同时保持了目标细节信息。
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