This paper proposes a method of applying the digital image processing technique to automatic processing and analysis of the temperature field images on cholesteric crystal display, which includes such procedures as noise smoothing, binaryzation, thinning, location and superposition.

In view of this goal, this article mixed has used the region growing, the binaryzation and the threshold way to segment the lung areas, and getting the satisfactory division result. ( 2) Extract the Region Of Interest.

针对这一目的，本研究运用了区域生长法、二值化以及阂值法对肺部区域进行了分割，并取得了满意的分割结果。（2）感兴趣区域的提取。

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This paper also purposes a license plate binaryzation algorithm based on a color model, and segments the characters of the plate combining the perpendicular projection and connected domain in order to avoid character adhesion or excessively segment.

本文还采用了面向车牌的基于彩色模型的车牌区域二值化算法，提出了结合垂直投影和连通域对车牌区域进行字符切分，很好的解决了字符粘连和过度切分的问题。

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The background and object are distinguished clearly in the combined action of the background light and the top light. The image noise filtered after binaryzation processing based on the Otsu algorithm is achieved good result.

在背景光源和上光源的共同作用下，背景和目标很分明，采用Otsu算法对滤波后的图像进行二值化处理也取得了很好的效果。

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Aiming at the illumination uneven images, the article has used the auto-adapted binaryzation method, which has solved the problem of the terrible binaryzation effect due to the illumination reason.

针对光照不均的图像，本文采用了快速自适应二值化方法，较好地解决了图像因光照原因二值化效果较差的问题。

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In the binaryzation process, the rationally selected binaryzation threshold θ~ can characterize well the surface topography by way of extracting the fractal dimensions from the objects to investigate.

在灰度图像的二值化转换过程中，合理选取的二值化转换阈值θ应能够通过从考察对象中所提取的分形维数来较好地表征表面形貌的相关特征。

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Aiming at the problem of uneven distribution for the target area and background area and the difficulties of separation, the method of local iteration Otsu algorithm is used to achieve image binaryzation.

针对目标区域和背景区域分布不均，难以分离的问题，提出并实现基于局部迭代的Otsu改进算法，通过实验验证其有效性。

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Analyses and compares some segmentation methods which based on image binaryzation: otsu segmentation method, segmentation method which based on histogram equalization and the segmentation method which proposed by S.D.

分析比较了指纹图像二值化分割方法。

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This method effectively avoids the complex computing on images enhancing, ROI positioning and palm-print image binaryzation in traditional methods and tracks principal lines on gray level image directly.

该方法有效地回避了传统主线提取方法对图像进行增强去噪、定位ROI、分割掌纹二值图等复杂度较高的计算，直接在全手掌灰度图像上进行主线的跟踪。

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And the optimization was also made in the difference and binaryzation in the video image post processing, which provided a great improvement in actual effect of snapshot compared with before.

在对视频图像的差分、二值化及后期处理过程中做了相应的优化，使得实际抓拍效果较改进前的有了较大提高；

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Fractal dimension, as the characteristic parameter to describe surface topography, relates closely to the grey level threshold θ in the binaryzation of grey image.

表面形貌的分形维数作为表面形貌描述的特征参数与表面形貌灰度图像二值化转换阈值θ密切相关。

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Through processing and so on binaryzation-filtration-smooth-adjustment, have completed the curve scanning pattern arrow quantification pretreatment work.

论文的主要工作有：1.通过二值化-过滤-平滑-校正等处理，完成了曲线扫描图矢量化的预处理工作。

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Computer simulation results show that the sharper correlation peak can be achieved by binaryzation, among which the identification effect of joint power spectrum threshold is optimal.

计算机模拟结果表明二值化可以获得更清晰更尖锐的相关峰，其中联合功率谱取阈法的识别效果最佳。

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Secondly, grayscale foreground image is self-adaption binaryzation by modified Otsu algorithm, which gains a good effect in different illumination condition.

其次，用改进的OTSU算法对差值图像进行自适应的二值化，这使得在不同光照变化情况下都能取得较好的二值化效果。

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Finally, further image segmentation, binaryzation and thinning processes are employed to the fingerprints and finger vein image processed.

最后，论文对处理后的指纹和手指静脉图像进行了进一步的图像分割，图像二值化和细化等过程。

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Based on the finger-vein binaryzation theory of repeated line tracking, a new feature enhance algorithm is extracted in this paper.

在指静脉重复线形跟踪二值化算法的基础上，本文引出了一种新的线特征增强技术。

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As the binaryzation processing is made, an optimum grey threshold must be determined according to the grey value of the image.

采用图像处理与分析方法进行微小零件尺寸及形位误差检测时，所获得的微小零件灰度图像的噪声较大，对其进行二值化处理时需要根据图像的灰度值确定一最佳灰度阈值。

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Pre-processing such as image binaryzation, image segmentation, normalization and thinning are discussed.

讨论了识别所需的预处理工作如图像二值化、图像分割、归一化与字符细化。

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The method of real-time iterations to seek global threshold is bright in to achieve image binaryzation.

图像二值化采用实时迭代来求全局阈值的方法。

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Then finish the image binaryzation with big law method and confirm the edge of the opening.

再采用大律法对图像进行二值化处理，确定出灌口的边沿。

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Binaryzation image is obtained through adaptive threshold segmentation and noise is removed by sorting method.

采用自适应门限进行阈值分割，得到二值化的图像；利用聚类的方法去掉噪声点。

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