Dissertation > Excellent graduate degree dissertation topics show
Optical Diffraction Image Recognition Algorithm Based on the F2812DSP
Author: ZongXiaoDong
Tutor: WuYuBin
School: Huazhong University of Science and Technology
Course: Physical Electronics
Keywords: Image recognition Optical diffraction image Image enhancement DSP Image Processing Algorithm optimization
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 5
Quote: 0
Read: Download Dissertation
Abstract
|
Digital holography is a new optical holographic display technology based on optical technology, modern computer technology, image processing and spatial light modulator technology. Due to the larger amount of information it contains and the unique visual effects, it is widely used in Hologram trademark.Based on the F2812DSP an algorithm capable of realize optical diffraction image matching is discussed. The whole algorithm can run in relative very short time, and can achieve high recognition rate. This algorithm can realize image match without rotating or moving the image. To facilitate the calculation, the author has prepared the corresponding PC procedures that can simulate DSP algorithms on the computer, and can calculate the values that is the feature of the standard image. Practise demonstrate that the algorithm is very easy to use, and the result of the algorithm is credible and could recognize different image. Because the algorithm is designed in C language, it can be used in other hardware platform with little change.In order to facilitate the calculation of parameters and algorithm verification, the author has prepared a PC-corresponding procedure that can simulate the algorithm on the embedded system, and can calculate the value of the standard features of the image. the author also write a LCD interface program to help to designed a convenient, reliable, easy-to-use menu interface framework display.It is proved that the algorithm simple to use, the results of the images recognition are reliable. through simple modifications the algorithm can be applied to other processor platforms.
|
Related Dissertations
- Research of Images Enhancing Algorithms on Fog or Backlighting Conditions and Implementation with Hardwares,TP391.41
- Multi-currency Notes Technology Research and Implementation,TP391.41
- Application Research of Digital Image Processing on Container Inspection,TP274.4
- Technology of Blood Vessel Diameter Measurement Automatic Based on Digital Image Processing,R310
- Research on Pressure Sensed Fingerprint Identification System and Algorithem,TP391.41
- Visual-based Localization Algorithm Design on Humanoid Robot Soccer,TP391.41
- Automatic Detection and Recognation of Road Signs,TP391.41
- The Design of Guide Robot Based on Embedded Technology,TP368.1
- Research of Image Enhancing of Vein Based on Fuzzy Theory,TP391.41
- Inspection and Recognition on a Class of Tool Processing Trace,TP391.41
- Research of Reconstruction and Camera Pose Estimation on Mobile Phone,TP391.9
- Research on Pavement Crack Detection Algorithom Based on Digital Image Processing,TP391.41
- PDE-based image denoising and enhancement of,TP391.41
- Research and Implementation of K- means clustering of remote sensing images and watershed segmentation algorithm,TP751
- Research on the Key Techniques for Low Level Light Video Target Tracking,TP391.41
- Research on Video Object Tracking with C-SIFT Agorithm,TP391.41
- The Research of Genetic Algorithm’s Application in Configuration of Harmonic Filters in Aluminum Works,TM711
- Research on Algorithms of Document Image Processing and Form Image Identification,TP391.41
- Research on the Method of Enhancement of Fog Road Image,TP391.41
- Based on Retinex image enhancement algorithm theory,TP391.41
- Fog environment image enhancement method,TP391.41
CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net Mobile
|