Target Segmentation And Recognition System Based On DM6467

Detecting, tracking and recognizing (DTR) spatial objects under the cluttered background have always been an important research area of aerospace exploration. In this paper, an improved image segmentation algorithm in DTR system is firstly introduced; Based on embedded system platform and system developing architecture, DTR system'performing efficiency was then improved; Finally, a hardware platform for DTR system is redesigned. Main research results are listed as follows:1) For target image sequence generated by Satellite Tool Kits, an object segmentation algorithm based on improved prior shape and CV model is given. Given model in this paper is based on variational level set model, which introduces another two local adaptive transformation in Chan-Zhu model. New improved model in this paper overcomes not only interferences such as occlusion, shadow, noise, clutter, but also better segmentation result towards objects with complex affine transformation. In addition to that, improved model in this paper can give a better segmentation result than Chan-Zhu model. Disturbed by light and angel, locations of the building towards in Aerial remote sensing images are often uncertain. To extract interest object in such images, Chan-Zhu model will be restricted in limited self-adapting transformation towards shape prior, yet improved model in this model will have no such worry. In collusion, improved model in this paper has a better robustness.2) With the help of SEED-DVS6467 development tool chain and SoC analyzer, DTR system'performing efficiency on SEED-DVS6467 was optimized. Running speed of optimized system was improved greatly, and optimized system on platform basically satisfied our requirements.3) According to the analysis result of modules distribution in the DTR system, redesign the architecture of hardware platform, which is based on TMS320DM6467 processor and corresponding Peripherals such as video switching chips, DDR2 SDRAM, NAND flash, etc. Designed platform highlights the features of DTR system.