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[Develop ToolsRRC

Description: A salient-boundary extraction software package based on the paper: S. Wang, T. Kubota, J. M. Siskind, J. Wang. Salient Closed Boundary Extraction with Ratio Contour, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(4):546-561, 2005
Platform: | Size: 12533709 | Author: ly | Hits:

[BooksRRC

Description: A salient-boundary extraction software package based on the paper: S. Wang, T. Kubota, J. M. Siskind, J. Wang. Salient Closed Boundary Extraction with Ratio Contour, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(4):546-561, 2005-err
Platform: | Size: 12533760 | Author: ly | Hits:

[DocumentsSurfer_Animation_Course

Description: 找了好久的Surfer动画教程,文件列表: 00如何使用Surfer.swf 01新建文档.swf 02打开文档.swf 03页面布局.swf 04如何网格化.swf 05创建等值面图.swf 06创建等值面图2.swf 07改变等值线等级.swf 08改变等值线属性.swf 09填充等值线.swf 10修改坐标属性.swf 11保存文件.swf 12创建表面图.swf 13改变表面图方向.swf 14改变表面图比例.swf 15创建张贴图.swf 16改变张贴图属性.swf 17参数设定.swf 18使用覆盖.swf 19使用脚本.swf-For a long time to find the Surfer animated tutorial, the list of files: 00 how to use Surfer.swf01 New Document. Swf02 open the document. Swf 03 page layout. Swf04 how gridding. Swf 05 Isosurface plans to create. Swf06 create isosurface Fig.2 . swf 07 to change the contour grade. swf08 isogram attributes change. swf 09 isogram filled. swf10 amend the coordinates attribute. swf11 save the file. swf 12 to create the surface map. swf13 plan to change the direction of the surface. swf 14 changes in the ratio of surface map . swf15 create Zhang map. swf 16 to change the texture properties Zhang. swf17 parameter settings. swf 18 the use of coverage. swf19 using a script. swf
Platform: | Size: 2740224 | Author: zhao | Hits:

[Special Effects1111

Description: 数字图象处理教程 INTRODUCTION 4 DIGITAL IMAGE DEFINITIONS 5 COMMON VALUES 6 CHARACTERISTICS OF IMAGE OPERATIONS 7 TYPES OF OPERATIONS 7 TYPES OF NEIGHBORHOODS 8 VIDEO PARAMETERS 9 TOOLS 9 CONVOLUTION 10 PROPERTIES OF CONVOLUTION 10 FOURIER TRANSFORMS 10 PROPERTIES OF FOURIER TRANSFORMS 11 IMPORTANCE OF PHASE AND MAGNITUDE 14 CIRCULARLY SYMMETRIC SIGNALS 15 EXAMPLES OF 2D SIGNALS AND TRANSFORMS 15 STATISTICS 16 PROBABILITY DISTRIBUTION FUNCTION OF THE BRIGHTNESSES 16 PROBABILITY DENSITY FUNCTION OF THE BRIGHTNESSES 16 AVERAGE 18 STANDARD DEVIATION 19 COEFFICIENT-OF-VARIATION 19 PERCENTILES 19-INTRODUCTION 4 DIGITAL IMAGE DEFINITIONS 5 COMMON VALUES 6 CHARACTERISTICS OF IMAGE OPERATIONS 7 TYPES OF OPERATIONS 7 TYPES OF NEIGHBORHOODS 8 VIDEO PARAMETERS 9 TOOLS 9 CONVOLUTION 10 PROPERTIES OF CONVOLUTION 10 FOURIER TRANSFORMS 10 PROPERTIES OF FOURIER TRANSFORMS 11 IMPORTANCE OF PHASE AND MAGNITUDE 14 CIRCULARLY SYMMETRIC SIGNALS 15 EXAMPLES OF 2D SIGNALS AND TRANSFORMS 15 STATISTICS 16 PROBABILITY DISTRIBUTION FUNCTION OF THE BRIGHTNESSES 16 PROBABILITY DENSITY FUNCTION OF THE BRIGHTNESSES 16 AVERAGE 18 STANDARD DEVIATION 19 COEFFICIENT-OF-VARIATION 19 PERCENTILES 19 MODE 20 SIGNALTONOISE RATIO 20 CONTOUR REPRESENTATIONS 21 CHAIN CODE 21 CHAIN CODE PROPERTIES 22 CRACK CODE 22 RUN CODES 23 PERCEPTION 23 BRIGHTNESS SENSITIVITY 23 WAVELENGTH SENSITIVITY 24 STIMULUS SENSITIVITY 24 SPATIAL FREQUENCY SENSITIVITY 25 COLOR SENSITIVITY 26 STANDARD OBSERVER 26 CIE CHROMATICITY COORDINATES 26 OPTICAL ILLUSIONS 28 IMAGE SAMPLING 30 SAMPLING DENSITY FO
Platform: | Size: 2639872 | Author: sean | Hits:

[Software Engineeringcontour_match

Description: Contour matching function code in matlab for face recognition. gives the matching ratio as the final output.
Platform: | Size: 1024 | Author: zrkhan | Hits:

[Special Effectsimage-operations-

Description: 3 图像基本处理操作(图像显示、读写、像素统计处理、图像文件I/O等) 4 图像质量的客观评价(峰值信噪比PSNR及其应用) 5 图像的代数运算(绝对值差函数imabsdiff,叠加函数imadd,图像的旋转imrotate) 6 视频处理(创建AVI视频) 7 图像增强(直方图、直方图均化、均值滤波、中值滤波) 8 图像形态学分析(膨胀、腐蚀、开、闭运算、轮廓提取) -3 basic image processing operations (image display, read and write, pixel statistics processing, image file I/O, etc.) 4 objective evaluation of image quality (PSNR peak signal to noise ratio and its application) 5 images of algebraic operations (sum of absolute differences function imabsdiff , superimposed function imadd, image rotation imrotate) 6 video processing (creating AVI video) 7 image enhancement (histogram, histogram equalization, mean filtering, median filtering) 8 image morphology analysis (expansion, erosion, opening and closing operations, contour extraction)
Platform: | Size: 4096 | Author: 李辛昭 | Hits:

[Graph Drawingdenggaoxian

Description: 等高线画图工具。通过在多个图上划分等高线,来区分不同区域的划分,一般用在地理及力学上,比如气压分布、比压分布等。工程上有时也会需要标注不同区域的受力点等。-The contour drawing tools. Divided by multiple chart contour to distinguish between different areas of the division, is generally used in geography and mechanics, such as pressure distribution, pressure ratio distribution. Engineering sometimes need to label the different regions of the force point.
Platform: | Size: 2048 | Author: Teddy | Hits:

[Special Effectstiqubeijing

Description: 对叶片进行预处理和提取部分特征:1.均值去噪 2.k均值聚类提取复杂背景下的叶子图片 3.填充孔洞 4.去叶柄 5.提取轮廓 6计算纵横轴比、面积凹凸比、周长凹凸比、球形性、圆形性、偏心率、形状参数和矩形度等特征值并进行画图。- Pretreatment of leaves and extract some of the characteristics: a mean denoising 2.k means clustering leaf extract complex background picture fill holes 3 4 5 contour extraction petiole 6 to calculate the vertical and horizontal axis ratio, convex area ratio.. convex perimeter than spherical, circularity, eccentricity, and rectangular shape parameter values ​ ​ and other characteristics of the drawing.
Platform: | Size: 3072 | Author: | Hits:

[Othervedio

Description: 目标检测与识别 1. 颜色检测 采集大量敌方机器人的图片数据,并进行训练,得到对方机器人的颜色区间, 并以此为阈值对整幅图像进行颜色检测,找到疑似敌方机器人的区域,量化 成二值图。 2. 滤除噪声点 对得到的二值图像进行开运算处理,滤除颜色检测结果中的噪声点。 3. 连通区域检测 对图像中的疑似区域进行连通区域检测,计算出每个疑似区域的外部轮廓, 用矩形近似表示。 4. 连通区域合并 根据连通区域之间的距离和颜色相似性,将距离接近且相似性高的连通区域 进行合并。 5. 形状和大小过滤 对大量敌方机器人图片进行训练,得到对方机器人的形状信息(例如长宽比) 和大小信息(面积),并以此为依据将不符合的区域过滤掉。 经过以上五步的处理,可以初步得到敌方机器人的位置、大小和形状信息。-Target detection and recognition 1 color detection Collect a lot of image data of the enemy robot, and training, get the color range of the other robot, And on the threshold of the color detection on the image, to find the suspected enemy robot area quantization Cheng two values. 2 filter out noise points The two valued image is processed to remove the noise points in the color detection results. 3 connected region detection In the image of the suspected region of the connected region detection, calculation of each suspected region of the external contour, Representation of a rectangular approximation. 4 connected region merging According to the distance between the connected regions and the color similarity, the distance is close to and the similarity is high. To merge. 5 shape and size filtering For a large number of images of the enemy robot training, get the other side of the robot shape information (such as the length and width ratio) And the size of information (ar
Platform: | Size: 38257664 | Author: | Hits:

[Special EffectsTper prentod

Description: This paper presents a novel active contour model in a variational level set formulation for simultaneous segmentation and bias field estimation of medical images. An energy function is formulated based on improved Kullback-Leibler distance (KLD) with likelihood ratio. According to the additive model of images with intensity inhomogeneity, we characterize the statistics of image intensities belonging to each different object in local regions as Gaussian distributions with different means and variances. Then, we use the Gaussian distribution with bias field as a local region descriptor in level set formulation for segmentation(This paper presents a novel active contour model in a variational level set formulation for simultaneous segmentation and bias field estimation of medical images. An energy function is formulated based on improved Kullback-Leibler distance (KLD) with likelihood ratio. According to the additive model of images with intensity inhomogeneity, we characterize the statistics of image intensities belonging to each different object in local regions as Gaussian distributions with different means and variances. Then, we use the Gaussian distribution with bias field as a local region descriptor in level set formulation for segmentation and bias field correction of the images with inhomogeneous intensities. Therefore, image segmentation and bias field estimation are simultaneously achieved by minimizing the level set formulation)
Platform: | Size: 2441216 | Author: song86 | Hits:

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