我用matlab寫的一個(gè)corner detector, 效果比現(xiàn)在流行的harris，susan，CSS等效果要好。
Algorithm is derived from:
X.C. He and N.H.C. Yung, Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support , Proceedings of the 17th International Conference on Pattern Recognition, 2:791-794, August 2004.
Improved algorithm has been included in A Corner Detector based on Global and Local Curvature Properties and submitted to Optical Engineering.
8051 Web Server project
See Makefile for build notes
Written for Keil C51 V5.1 compiler, notes:
It uses big endian order, which is the same as the
network byte order, unlike x86 systems.
Use OPTIMIZE(2)or higher so that automatic variables get shared
// between functions, to stay within the 256 bytes idata Space
This string-include defines all string functions as inline functions. Use gcc. It also assumes ds=es=data Space, this should be normal. Most of the string-functions are rather heavily hand-optimized,
see especially strtok,strstr,str[c]spn. They should work, but are not
very easy to understand. Everything is done entirely within the register
set, making the functions fast and clean.
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the Space
DIM, the number of centres in the mixture model and the type of the
mixture model, and returns a data structure MIX.
數(shù)字圖像處理基礎(chǔ)理論，英文資料Restoration and Enhancement
Space Pictures (blurred, noisy, distorted)
Computerized Tomography
Coding
Transmission – Teleconferencing
Storage – Land SAT Images
Pattern Recognition
Blood Cell Analysis
Remote Sensing
Robotic Vision
Computer Graphics
Flight Simulation
Auto Body Design
Special Effect in Movie
This paper presents a low-power asynchronous implementation of the 80C51 microcontroller. It was realized in a 0.5 µ m CMOS process and it shows a power advantage of a factor 4 compared to a recent synchronous implementation in the same technology. The chip is fully bit compatible with the synchronous implementation, and timing compatible for external memory access. The circuit is a compiled VLSI-program, using Tangram as VLSI-programming language and the Tangram tool set to compile the design automatically to a standard-cell netlist. This design approach proves to be powerful enough to describe the microcontroller and derive an efficient implementation. Further, it offers the designer the possibility to explore various alternatives in the design Space.
Zero-order-hold
Intended for a senior-level course on the analysis and design of digital control systems, the text is also useful for graduate students and practicing engineers who are learning state-Space design techniques.
