A hardware architecture of Prewitt edge detection

2010 ◽  
Author(s):  
Aramesh Seif ◽  
Mohammad Mohammadpour Salut ◽  
Muhammad Nadzir Marsono
Keyword(s):  
Edge Detection ◽  
Hardware Architecture ◽  
Prewitt Edge Detection

scholarly journals Automatic Diabetic Retinopathy Diagnosis using Prewitt Edge Detection & Color Mapping from Fundus Imaging

2021 ◽  
Vol 10 (4) ◽  
pp. 19-23
Author(s):  
Megha Deshmukh ◽  
Vineeta Saxena Nigam
Keyword(s):  
Diabetic Retinopathy ◽  
Edge Detection ◽  
Blood Vessels ◽  
Rate System ◽  
Color Mapping ◽  
Fundus Imaging ◽  
Long Time ◽  
Mapping Techniques ◽  
High Level ◽  
Prewitt Edge Detection

Diabetic Retinopathy is a diabetic disease that directly affects the vision that causes damaged blood vessels at the back end of the eyes. It a complicated disease that cannot be recognized from normal eyes; a fundus imaging can reflect the impairments over the retina that causes partial or complete blindness that cannot be cured. It is mandatory for a routine examination that may lead to prevent from complete blindness because it can be prevented from current damaged blood vessels but it cannot be revert or treated. In the field of image processing; various diseases can be diagnosed automatically that saves humans life along with easiness for medical professionals. If a person pertains diabetes for a long time may have highest possibility for diabetic retinopathy. Here, the system has been proposed that can diagnose this disease with high level of accuracy with minimal false alarm rate. System uses Prewitt Edge Detection and Color Mapping techniques for recognizing diabetic retinopathy symptoms or damaged blood vessels from fundus imaging. Prewitt is highly sensitive for extracting impairments along with blood vessels and system is able to mask the unwanted area by using color correction tool.

scholarly journals Identification of Virus in Microscopic Image Using Genetic Algorithm

2019 ◽  
Vol 8 (S2) ◽  
pp. 24-27
Author(s):  
N. Senthilkumaran ◽  
R. Preethi
Keyword(s):  
Genetic Algorithm ◽  
Image Segmentation ◽  
Edge Detection ◽  
Microscopic Image ◽  
Canny Edge Detection ◽  
Detection Techniques ◽  
Canny Edge ◽  
Sobel Edge Detection ◽  
The Many ◽  
Prewitt Edge Detection

In this paper describes a several techniques of effective edge detection by using image segmentation. The image segmentation provides various techniques to detect the edges on image. The paper mainly focused on edge detection using matlab parameters and solved the many problems. Edge detection techniques have a several type of techniques. We have taken microscopic image, which affects the human body by making diseases through viruses and bacteria’s. Now analyze only about the major techniques: a.) Roberts edge detection, b) sobel edge detection, c) prewitt edge detection, d) log (laplacian of gaussian) edge detection, e) genetic edge detection and f) canny edge detection. We have applied above five techniques which are used in edge detection and got a result on microscopic images. Hence, we scope this paper defines and compares the variety of techniques and demand assures the genetic algorithm provides a better performance on edge detection using microscopic image.

scholarly journals Optimization of Pattern Recognition of Hijaiyah Letters using Normalized Cross Correlation Tchniques

2019 ◽  
Vol 8 (2S7) ◽  
pp. 48-53
Keyword(s):  
Pattern Recognition ◽  
Edge Detection ◽  
Cross Correlation ◽  
Binary Image ◽  
Image Size ◽  
Normalized Cross Correlation ◽  
Sample Data ◽  
Sobel Edge Detection ◽  
Prewitt Edge Detection ◽  
Letter Pattern

The development of analysis in digital image increasingly developed with various methods, one of which is in recognition of letter patterns. Each letter written using handwriting must have different writing patterns, such as the thickness and shape of the letter pattern. This research will be doing on the pattern recognition of hijaiyah letters of handwriting by applying the Normalized Cross Correlation (NCC) technique. NCC is a technique used to match two images. Before the NCC process, it should be done with the preprocessing using convolution and without convolution using the binary image. The convolution technique used was the Sobel and Prewitt edge detection with the aimed to get the edge of an object and compared the number of matching letters between using edge detection and without edge detection. The tests were done by using the different sized image of 32x32 pixels, 64x64 pixels and then match it against a similar sample data, a different sample data, a different objects font sample data and a different sample data of original image size. The results show that the matching of the letter pattern depends on the size of the image that is more matches to the image of 32x32 pixels. The binary image had better matching numbers than the convolution techniques. While in convolution techniques, Prewitt edge detection had the higher accuracy and matching results compared to the image using Sobel edge detection.

scholarly journals Development of automated liquid filling system based on the interactive design approach

2020 ◽  
Vol 48 (4) ◽  
pp. 938-945
Author(s):  
Oday Abdullah ◽  
Wisam Abbood ◽  
Hiba Hussein
Keyword(s):  
Edge Detection ◽  
Filling Process ◽  
Optimal Method ◽  
New Approach ◽  
Filling System ◽  
Detection Approach ◽  
Filling Time ◽  
Accuracy Of Results ◽  
Prewitt Edge Detection ◽  
User Friendly

The automatic liquid filling system is used in different applications such as production of detergents, liquid soaps, fruit juices, milk products, bottled water, etc. The automatic bottle filling system is highly expensive. Where, the common filling systems required to complex changes in hardware and software in order to modify volume of liquid. There are many important variables in the filling process such as volume of liquid, the filling time, etc. This paper presents a new approach to develop an automatic liquid filling system. The new proposed system consists of a conveyor subsystem, filling stations, and camera to detect the level of the liquid at any instant during the filling process. The camera can detect accurately the level of liquid based on the imaging process technique (Edge Detection Approach). In order to achieve the aim of this work, Arduino board is used as the controller unit in the automatic operation of developed filling system. The developed automatic liquid filling system is designed to be not expensive compared to the other available filling systems on the markets. The system is also easy to operate and user-friendly,where only simple steps are required to operate the filling system or modify the working condition.It was found, based on results, that the Prewitt edge detection is the optimal method that should be applied to obtain high accuracy of results and quick response of developed system.

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