图像对比,Image comparison英语短句,例句大全

图像对比,Image comparison
1)Image comparison图像对比
1.And Java program packaged is used by Java Builder,an extension of Matlab compiler,to perform Matlab function of image comparison in order to alarm and record the video automatically on time as soon as the abn.使用JMF(Java媒体框架)实现视音频捕获并每隔几秒截取监控区域的图像,利用Matlab进行图像对比并打包成Java程序,在监控区域出现异常情况时及时进行报警和录像。

英文短句/例句

1.Contrast Enhancement of Image Adapting to Color Space适应彩色空间的图像对比度增强算法
2.The Processing System of CT and MRI Images for Diagnosing Liver Cases肝病变的CT与MRI图像对比处理系统
3.Common infrared image gray transform algorithms are studies in order to enhance infrared image contrast.红外图像对比度增强的研究基于灰度变换。
4.Infrared image contrast enhancement with in-complete beta transform in wavelet domain小波域非完全贝塔变换增强红外图像对比度
5.Design and Realization of Embedded Fog-degraded Image Contrast Enhancement System嵌入式雾天降质图像对比度增强系统设计
6.Analysis of Neonatal Pneumonia X-ray and CT Features87例新生儿肺炎胸片与CT图像对比分析
7.To increase the contrast of(a photographic image).增加（照片图像）的对比度
8.Specified scale value is invalid for the current image.指定的缩放比例对当前图像无效。
9.Adjusts the brightness, contrast and gamma of the image调整图像的亮度、对比度和灰度系数
10.The Comparative Study on Chinese Dental Morphology Patlern;关于中国人牙齿形态图像的比对研究
11.The Research of Contrast Enhancement Methods of Fog-degraded Images雾天降质图像的对比度增强方法研究
12.Access control system based on image acquisition and face recognition基于图像采集与人脸比对的门禁控制
13.An Adaptive Contrast Enhancement Algorithm for Infrared Image一种红外图像自适应对比度增强算法
14.Effective information hiding scheme based on wavelet contrast一种利用小波对比度的图像隐藏算法
15.Comparative Analysis and Research of Algorithm for Image Edge Detection图像边缘检测算法的对比分析与研究
16.Defect Segmentation Algorithm for Low Contrast Slice Images of Cone-Beam Computed Tomography低对比度锥束CT图像缺陷分割算法
17.To Compare the Quality of Different Printers in Medical Image医学影像显示介质的图像质量对比研究
18.Comparison and Evaluation on Image Quality Before and After Mixture of CBERS and ALOSCBERS与ALOS卫星影像融合前后图像质量对比与评价

相关短句/例句

image comparison图像比对
1.Multi-scales SAR image comparison based on wavelet transform features;基于小波变换的多尺度SAR图像比对
2.A search engine of image comparison is presented to establish image feature database by a new approach of fractal image processing and indexing.传统的搜索引擎只能搜索文字型的资料 ,显然无法满足用户想通过搜索引擎来取得与图像相关的信息的需求提出一种图像比对搜索引擎 ,利用分形图像处理和索引技术来建立图像特征数据库当用户输入查询图像时 ,系统对于用户输入的图像也采用与分形图像处理相同的方式取得特征值 ,然后再与图像特征数据库的特征矢量作比对 ,达到数据搜索的目的实验表明 ,图像比对搜索引擎除了可以找出用户输入的相似图像外 ,对于查询图像的旋转、模糊或噪声 ,图像比对搜索引擎也能够找出正确的图像 ,证明文中方法对图像的容错性和适应性
3)image contrast图像对比度
1.The weak but useful signal limits the OCT imaging speed,detection sensitivity,signal-to-noise ratio and image contrast.仿真结果:表明对OCT成像有贡献的背向散射光强是样品臂入射光强的10-8~10-10,这样微弱的有用信号限制OCT系统的成像速度、探测灵敏度、信噪比和图像对比度等系统的性能。
2.Irradiances reflected from object and backscattered from intervening water are calculated respectively,and the relationship between image contrast and imaging distance is analyzed based on previous computation expressions.对条纹激光扫描成像系统中的像面照度特性进行了理论和实验研究,推导出了目标反射光照度和后向散射光照度的计算式,分析了图像对比度与成像距离间的关系,并进行了极限成像距离的水下实验。
3.We get the theoretical relationship of visibility distance and image contrast and resolution,and present the formulas for image synthesizing.本文分析了雨雾天气下大气介质对户外场景成像的影响 ,通过输运理论与解析理论的结合 ,得出了能见距离与图像对比度及分辨率的理论关系 ,给出了图像合成的公式 ,并且通过实验把模拟产生的图像与实际拍摄的图像进行了比较。
4)image contrast enhancement图像对比度增强
1.The principal properties of human visual system are analysed, then a wavelet-based algorithm for image contrast enhancement is proposed.在分析视觉系统特性的基础上 ,提出了一种基于小波分析的图像对比度增强算法。
2.Considering human visual characteristics,a new nonlinear image contrast enhancement method based on curvelet is proposed.实验表明,本文算法是一种简单而有效的图像对比度增强方法,不仅图像视觉效果改善明显,层次感更强,而且避免了传统图像增强方法的噪声过增强。
5)low-contrast image低对比度图像
1.In this paper,we research on the enhancement of low-contrast images.低对比度图像具有灰度范围较窄、相邻像素的空间相关性高、灰度变化不明显等特点。
2.In a sensed image of long distance, the gray levels of target and background are hardly distinguishable, which results in a low-contrast image.实验结果表明,该方法能够有效的增强低对比度图像中的弱小目标。
3.Experiment results are obtained by applying the edge detector on the noise images and the low-contrast images,which prove to be more efficient than the Sobel and the Canny edge detectors.提出了一种基于多方位小结构元素的抗噪膨胀腐蚀算法,通过实验证明,该算法对噪声图像和低对比度图像都能达到令人满意的检测效果,与经典的Sobel算子、Canny算子相比,具有定位准确,边缘连续、清晰,运行效率高等特点。
6)low contrast image低对比度图像
1.A novel low contrast image enhancement approach based on the second generation curvelet is proposed.针对传统图像增强方法用于低对比度图像时,存在对噪声敏感、局部过增强等问题,提出了一种基于第二代Curvelet变换的增强方法。
2.Selection of the subsection point is the key to enhance low contrast image under light background by subsection linear transformation.采用分段线性变换对白天亮背景下低对比度图像序列进行对比度增强,最关键的是分段点的选取。