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.
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.
采用蟻群算法檢測圖像邊緣
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.
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.
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.視頻圖像處理與分析的網絡資源
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.
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.
VideoMan is a very easy image acquisition library. It is able to manage many video inputs at the same time, such as WDM Firewire and USB cameras, PointGrey cameras and video files. It can also render the inputs using OpenGL. Suitable for computer vision
