ATViewer is a component for Delphi/C++Builder, which allows to view files of various types. There is no edit possibility, just quick view - so it s useful to implement "View file" feature in your Delphi/C++Builder application. The following view modes are implemented: Text, Binary, Hex, Unicode: all files, of unlimited size. Plain file dump is shown. Used ATBinHex component: only visible part of file is loaded into memory. Modes are suitable for huge files and files of unknown type. RTF/UTF-8: RTF and UTF-8 encoded texts. File is shown using RichEdit control. Image: all general image formats: BMP JPG ICO GIF PNG... File is shown using ATImageBox component. Multimedia: all file types supported by MS Windows Media Player: AVI MPEG WMV MP3... File is shown using WMP ActiveX control. Internet: all file types supported by MS Internet Explorer: HTML XML DOC XLS... File is shown using MSIE ActiveX control. Plugins: all files supported by Total Commander Lister plugins.
标签： component ATViewer Builder various
上传时间： 2013-12-24
上传用户：小鹏
sfrmat is a Matlab function that provides a spatial frequency response* (SFR) from a digital image file containing a slanted-edge feature. The specific edge-gradient algorithm follows the intent of the standard ISO 12233, developed by Technical Committee ISI/TC 42, for resolution measurements for electronic still pictorial cameras.
标签： frequency function provides response
上传时间： 2014-01-20
上传用户：qunquan
The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.
标签： approximate The modeling problems
上传时间： 2013-12-20
上传用户：15071087253
采用蚁群算法检测图像边缘 This a demo program of image edge detection using ant colony, based on the paper, "An Ant Colony Optimization Algorithm For Image Edge Detection," IEEE Congress on Evolutionary Computation (CEC), pp. 751-756, Hongkong, Jun. 2008.
标签： detection program colony based
上传时间： 2016-09-28
上传用户：cc1
XTHIDE is a GUI that allows the user to hide a text message in an image file. The user will be asked for a key that will be used to both encode and decode the text into an image. The key can be of length from 2 to 900 characters. The encryption pattern for a key hell is not a subset of the encryption pattern for hello . See help. Created with version 7.01.
标签： user message XTHIDE allows
上传时间： 2013-12-26
上传用户：erkuizhang
1.an fpga implementation of the image space reconstruction algorithm for hyperspectral imaging analysis 2. fpga implemention of a median filter 3. fpga implementation of digital filters 4.hardware acceleration of edge detection algorithm on fpgas 5.implementation and evaluation of image processing algorithms on reconfigurable architecture using C-based hardware descriptive languages 6. implementing 2D median filter in fpgas 7.视频图像处理与分析的网络资源
标签： implementation reconstruction hyperspectral algorithm
上传时间： 2014-01-10
上传用户：894898248
OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.
标签： OTSU segmentation Gray-level segmented
上传时间： 2017-04-24
上传用户：yuzsu
Circular hough transform for eyedetection and precise eyes location. it is a very good code that works on both grayscale and jpg image.
标签： eyedetection transform Circular location
上传时间： 2014-01-25
上传用户：yiwen213
hough transform for eyedetection and precise eyes location. it is a very good code that works on both grayscale and jpg image.
标签： eyedetection transform location precise
上传时间： 2013-12-15
上传用户：cjl42111
eye matching using Circular hough transform for eyedetection and precise eyes location. it is a very good code that works on both grayscale and jpg image.
标签： eyedetection transform Circular matching
上传时间： 2017-05-01
上传用户：jiahao131
