Comparative Study of Prewitt and Canny Edge Detector Using Image Processing Techniques

Author(s):  
Deepali N. Lohare ◽  
Ramesh R. Manza ◽  
Neha Tiwari

Diabetic Retinopathy affects the retina of the eye and eventually it may lead to total visual impairment. Total blindness can be avoided by detecting Diabetic Retinopathy at an early stage. Various manual tests are used by the doctors to detect the presence of disease, but they are tedious and expensive. Some of the features of Diabetic Retinopathy are exudates, haemorrhages and micro aneurysms. Detection and removal of optic disc plays a vital role in extraction of these features. This paper focuses on detection of optic disc using various image processing techniques, algorithms such as Canny edge, Circular Hough (CHT). Retinal images from IDRiD, Diaret_db0, Diaret_db1, Chasedb and Messidor datasets were used.


Author(s):  
Abhishek Das ◽  
Mihir Narayan Mohanty

In this chapter, the authors have given a detailed review on optical character recognition. Various methods are used in this field with different accuracy levels. Still there are some difficulties in recognizing handwritten characters because of different writing styles of different individuals even in a particular language. A comparative study is given to understand different types of optical character recognition along with different methods used in each type. Implementation of neural network in different forms is found in most of the works. Different image processing techniques like OCR with CNN, RNN, combination of CNN and RNN, etc. are observed in recent research works.


Author(s):  
Shaun Fernandes ◽  
Dhruv Duseja ◽  
Raja Muthalagu

This paper aims to implement different image processing techniques that will help to control an autonomous car. A multistage pre-processing technique is used to detect the lanes, street signs, and obstacles accurately. The images captured from the autonomous car are processed by the proposed system which is used to control the autonomous vehicle. Canny edge detection was applied to the captured image for detecting the edges, Also, Hough transform was used to detect and mark the lanes immediately to the left and right of the car. This work attempts to highlight the importance of autonomous cars which drastically increase road safety and improve the efficiency of driving compared to human drivers. The performance of the proposed system is observed by the implementation of the autonomous car that is able to detect and classify the stop signs and other vehicles.


Author(s):  
Eric Clark ◽  
Gabriel Hotchner ◽  
Ebin Scaria ◽  
Ebin Scaria

The capability to detect edges in an image is a major component in the field of image processing. That being said one of the most commonly utilized methods for edge detection is the Canny edge detection algorithm. In this paper we outline and define what edge detection is in image processing, and how the Canny edge detector works in typical implementations. We briefly refer to other papers which have similarly looked into optimizing the Canny edge detector and then propose our own hypothesis on how to parallelize this algorithm via multithreading. Our current code implementation is then explained alongside current results and issues.


Author(s):  
Eric Clark ◽  
Gabriel Hotchner ◽  
Ebin Scaria

The capability to detect edges in an image is a major component in the field of image processing. That being said one of the most commonly utilized methods for edge detection is the Canny edge detection algorithm. In this paper we outline and define what edge detection is in image processing, and how the Canny edge detector works in typical implementations. We briefly refer to other papers which have similarly looked into optimizing the Canny edge detector and then propose our own hypothesis on how to parallelize this algorithm via multithreading. Our current code implementation is then explained alongside current results and issues. \\\\Keywords-Canny Edge detection, parallel, multithreading, Robot Vision, image processing.


Author(s):  
B.V.V. Prasad ◽  
E. Marietta ◽  
J.W. Burns ◽  
M.K. Estes ◽  
W. Chiu

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.


Author(s):  
V. Deepika ◽  
T. Rajasenbagam

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.


Sign in / Sign up

Export Citation Format

Share Document