The image feature extract method of image pattern recognition algorithm is studied in the paper. A high speed and
real-time method of image locating and feature extract is presented. And the method mainly consists of two key
technologies, one is to locate the target area of measured object using mask matrix method, the other is to extract the
edge feature based on the template matching method. The experiment results show that the method of image feature
extracting is a high speed and high precision image recognition algorithm, and it can be satisfied the high-speed and
real-time requests of on-line detection.
It Researches key technologies and hardware node structure of the Transport MPLS packet network. Main technology is
super high speed FPGA. The transport plane adapts the layer 3 service signals from client equipments and forwards them.
There are two types of node in transport plane, edge node (EN) or core node (CN), and the nodes realized with large-scale
FPGA chip have three main function units and six types of board. The EN adapts the layer 3 service signals such as
TDM, Packet and Cell to TM signals by add shim. The CN is responsible for the TM signals switching in higher speed
than traditional packet network such as Ethernet. Control plane is embedded in a FPGA chip and designed based on the
ASON core technique (GMPLS) such as the transport label switching path (T-LSP) maintaining (set up, release, state
monitoring), route controlling and protect recovering and so on.
The binocular vision measurement system is adopted with two CCDs and their optical axes are vertical to obtain the attitude of dynamic missile. Two methods to get the axis vector of the measured missile are discussed in the paper. One is to derive the linear equation of the missile axis' projection line in space coordinate using axle wire method. The other is to obtain the axis vector of measured object based on vertical principle of two CCDs' optical axes. Lastly, with the measured missile attitude measurement principle, the moving attitude from the axis vector obtained above is discussed in the paper too. The result of simulation experiment and analysis shows that the measurement method has higher precision, and can meet the measurement requirement for the dynamic parameter of moving object in long distance.