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Processing of images plays a very important role in communication systems. So this paper describes the edge detection algorithm in image processing. The main aim behind this is to process the image and extract accurate edge line to reduce the size acquired by the original image. The image is converted in black and white color to reduce the memory that it will acquire. The image of 512∗512 pixels is...
Convolution is an algorithm widely used in image and video processing. Although its computation is simple, its implementation requires a high computational power and an intensive use of memory. This paper presents a direct method of reducing convolution processing time using hardware computing and implementations of discrete linear convolution of two finite length sequences. This implementation method...
The concept of image compression is widely used in many fields like academics, industry and commerce for the transmission of data at higher speed and to allow the storage of large amount of data in less space. In this paper the VLSI Implementation of a fully pipelined multiplier less architecture of 2D DCT/IDCT has been studied. The compression and decompression is carried out with the help of two...
In this paper we have implemented edge detection on a Real Time Image Capture. The video is captured via the Terasic 5MP camera and then interfaced with FPGA kit and the edge detected image is shown in VGA display. In addition, Canny Edge Detection algorithm is used to obtain the edge detected version of the RGB image captured by the interfaced camera. This algorithm provides low error rate as compared...
The core aspect of an automated robotic system relies primarily on the robustness of the processing device. To have a trustworthy autonomous system, features like effective sensing abilities are mandatory. But the degree of speed and accuracy of processing is the most challenging issue in processing using embedded microcontroller chips. With a view to satisfy this demand, this paper presents a novel...
In recent years, the home automation has seen a rapid introduction of network enabled digital technologies. These technologies offer new and exciting opportunities to increase the connectivity of devices within the home for the purpose of home automation. In this paper, we present the design and implementation of home automation system. The design has been described using Verilog and implemented in...
In recent times, face recognition is developing rapidly for its various applications in the field of Human-Interface, Biometrics, Robotics, Security, Surveillance and other commercial use. Biometric based advancements and technologies include identification associated with the biological characteristics (finger print, retina scanning) and behavioral traits (mood detection). Out of the available recognition...
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