In the arrival of today's highly integrated multimedia device and fast emerging applications, image processing have become more important than any others. These multimedia devices require complex image processing ...
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ISBN:
(纸本)9783038351245
In the arrival of today's highly integrated multimedia device and fast emerging applications, image processing have become more important than any others. These multimedia devices require complex image processing tasks lead to a very challenge design process as it demands more efficient and high processing systems. The scope of this project is to extract features of multi objects in an image for object recognition. The proposed system is designed in FPGA for low power consumption and better performance. In existing system a cell based multi object feature extraction algorithm is used to extract autocorrelation feature of objects simultaneously. It is calculated using zeroth order and first order moments to obtain the size and location of multiple objects. In proposed system a Local Binary Pattern (LBP) and Local Ternary Pattern (LTP) is used to extract the feature of multiple objects to reduce computational complexity and memory consumption. An EDDR(error detection and data recovery) circuit is used to detect error and recover the data of an image. The proposed architecture is designed using verilog HDL, simulated using Modelsim software and synthesized using Xilinx project navigator.
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