scholarly journals Implementation of Edge Detection Algorithm Using Nexys 4 FPGA

10.29007/rckt ◽  
2018 ◽  
Author(s):  
Chintan Patel ◽  
Ronak Vashi ◽  
Anish Vahora
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Detection Algorithm ◽  
Hardware Description Language ◽  
Description Language ◽  
Sequential Processing ◽  
Long Time ◽  
Speed Up ◽  
Hardware Description ◽  
Extensive Computation

Image processing requires extensive computation and usually done on Personal Computer or CPU. Due to its sequential processing method of Image processing or CPU task takes long time to get desire output. However FPGAs can be one of the options to speed up image processing without increasing the clock speed. One of the main features of FPGA is allowing parallel processing which speed up the processing of Image and get desire output in limited time-bound. In this paper, Digilent Nexys 4 XC7A100T-1CSG324C FPGA is used to implement the edge detection operation on image. The Sobel algorithm is used to detect the edge in an image and is implemented on FPGA using Hardware Description Language (VHDL).

scholarly journals Implementation of Edge Detection Algorithm using FPGA Reconfigurable Hardware

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Sa'ed Abed
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Execution Time ◽  
Parallel Architecture ◽  
Detection Algorithm ◽  
Reconfigurable Hardware ◽  
Edge Detection Algorithm ◽  
C Language ◽  
Pipelined Architecture ◽  
Speed Up

Digital image processing is known as computer manipulation of image, which includes algorithms like image enhancement and target reorganization. Some of these algorithms involve operations like convolution and edge detection, which requires high computation. Generally, the software running on processor performs these manipulations. To achieve higher computation performance in terms of execution time, these algorithms are implemented on reconfigurable hardware like FPGA. One can implement parallel architecture and pipelined architecture on FPGA to gain speed up.  In this work, we provide a detailed description of implementing edge detection algorithm on SGI–RC100 platform. The algorithm is implemented using ANSI-C to manipulate the host program and Mitrion–C language. Mitrion–C offers efficient way to write code for parallel and pipelined architecture to preform edge detection. Then, the algorithm is tested on Intel Intanium 2 based architecture and compared its execution time with RC 100 platform based algorithm to check the speed up gain by FPGA based algorithm. The experimental results showed that the speed of the reconfigurable hardware FPGA based algorithm outperformed the software-based approach by more than 50 times.

Efficient Conversion Technique from Redundant Binary to NonRedundant Binary Representation

2017 ◽  
Vol 26 (09) ◽  
pp. 1750135 ◽  
Author(s):  
Ranjan Kumar Barik ◽  
Manoranjan Pradhan ◽  
Rutuparna Panda
Keyword(s):  
Final Stage ◽  
Hardware Description Language ◽  
Binary Representation ◽  
Description Language ◽  
Power Product ◽  
Efficient Conversion ◽  
Look Ahead ◽  
Hardware Description ◽  
Sign Extension ◽  
Cadence Tool

Redundant Binary (RB) to Two’s Complement (TC) converter offers nonredundant representation. However, the sign bit of TC representation has to be handled using nonstandard hardware blocks. The concept of Inverted encoding of negative weighted bits (IEN) eliminates the need of sign extension and offers design only using predefined hardware blocks. NonRedundant Binary (NRB) representation refers to both conventional and IEN representations. The NRB representation is also useful considering problem related to shifting in Carry Save (CS) representation of a RB number. In this paper, we have proposed two new conversion circuits for RB to NRB representation. The proposed circuits of the RB to NRB converter are coded in Verilog Hardware Description language (HDL) and synthesized using the Encounter(R) RTL Compiler RC13.10 v13.10-s006_1 of Cadence tool considering ASIC platform. Considering 64 bits’ operand, the delay power product performances of proposed one-bit and two-bit computations offer improvement of almost 29.9% and 47%, respectively as compared to Carry-Look-Ahead (CLA). The proposed one-bit converter is also applied in the final stage of the Modified Redundant Binary Adder (MRBA). The 32-bit MRBA offers a delay improvement of 7.87% replacing conventional converter with proposed one-bit converter in same FPGA 4vfx12sf363-12 device.

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