搜索资源列表
Analysis_and_Detection_of_Shadows_in_Video_Streams
- Robustnesstochangesinilluminationconditionsaswellas viewing perspectives is an important requirement formany computer vision applications. One of the key fac-ors in enhancing the robustness of dynamic scene analy-sis that of accurate and reliable mea
Imagefrequencyrangeenhancementmethodstudy
- This the network curriculum project reported that the topic is the image frequency range enhancement method study, hoped that everybody uses for reference!
ApplicationofDigitalWatermarkingandthebenchmarking
- 图像数字水印的应用及基准测试软件：在讨论图像数字水印的各种应用及影响图像数字水印系统的重要参数的基础上,对数字水印的各种典型 的攻击方式进行了较完整的分析,最后对现有的典型基准测试程序进行了探讨,指出了它们的局限性.-Application of Digital Watermarking and the benchmarking software: Image Watermarking in the discussion of a wide range of applications
Labview_serial_port
- The P S N R is most commonly used as a measure of quality of reconstruction of lossy compression codec (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing c
Oscilloscope
- The PSNR is most commonly used as a measure of quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing com
singnal
- The PSNR is most commonly used as a measure of quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing com
FundamentalElectronics
- The PSNR is most commonly used as a measure of quality of reconstruction of lossy compression codecs (e.g., for image compression). The signal in this case is the original data, and the noise is the error introduced by compression. When comparing com
RenderingSyntheticObjectsintoRealScenes
- 在真实场景中渲染物体的一篇英文文献。Berkeley大学的Paul Debevec所做，发表在SIGGRAPH98 conference proceedings上。写得不错-Rendering Synthetic Objects into Real Scenes:Bridging Traditional and Image-based Graphics with Global Illumination and High Dynamic Range Photography
ComputerVisionModernApproach
- The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand
Fergus-Perona
- We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constellations of parts. A probabilistic representation is used for al
disparity
- this the code to find the disparity of stereo images in matlab. this is very useful in 3-d modelling and range image analyzing-this is the code to find the disparity of stereo images in matlab. this is very useful in 3-d modelling and range image
Standard-web-flow-chart.rar
- 流程图可以简单地描述一个过程，是对过程、算法、流程的一种图像表示，在技术设计、交流及商业简报等领域有广泛的应用。流程图可分为：数据流程图和作业流程图。 流程图较思维导图要严谨一些，也是思维导图一种表现，使用图形表示算法的思路是一种极好的方法，因为千言万语不如一张图。流程图由包含具有确定含义的符号、简单的说明性文字和各种连线。 流程图是流经一个系统的信息流、观点流或部件流的图形代表。在企业中，流程图主要用来说明某一过程。这种过程既可以是生产线上的工艺流程
Computational-photography
- Computational photography refers to computational image capture, processing, and manipulation techniques that enhance or extend the capabilities of digital photography, typically through the use of multiple pictures of the same subject matter, such,
segmentation
- Image Segmentation. A central problem, called segmentation, is to distinguish objects from background [10]. For intensity images (ie, those represented by point-wise intensity levels) four popular approaches are: threshold techniques, edge-based
CS766-HDR
- The objective of this project was to learn how to create high dynamic range (HDR) images from a sequence of exposures. A single exposure is limited in its dynamic range by the bit-depth of its sensors, which is usualy 8 bits per channel. This leads t
1-s2.0-S000326700901191X-main
- The use of near infrared (NIR) hyperspectral imaging and hyperspectral image analysis for distinguishing between hard, intermediate and soft maize kernels from inbred lines was evaluated. NIR hyperspectral images of two sets (12 and 24 kernels) o
gscale_IP
- Scales input image to a user selected range
Matlab
- nonmaxsup——非最大值抑制 hysthresh——设定阈值区间，返回一个二值化图像 canny——边缘探测，图像边缘增强 adjgamma——调整图像的伽马值 findline——利用线性Hough变换和Canny边缘探测得到的线上各点的坐标 circlecoords——返回由圆的半径和圆心坐标决定的圆上各点像素的坐标 houghcircle——取一幅经过canny变换的图像，利用hough变换找到图像中的一个圆 findcircle——计算所得线上各点
Channel-Division-drak-image-enhancement
- A content-aware algorithm that enhances dark images, sharpens edges, reveals details in textured regions, and preserves the smoothness of flat regions is proposed. The algorithm produces an ad hoc transformation for each image, adapting the mapping f
edge-range-image
- 这是点云pcl中，通过深度信息来提取点云图像的边缘-edge-range point cloud