Nonlinear neurons and higher-order statistics: new approaches to human vision and digital image processing

Author(s):  
Christoph Zetzsche ◽  
Gerhard Krieger
2021 ◽  
Vol 4 (1) ◽  
pp. 83-87
Author(s):  
Ardiansyah Putra ◽  
◽  
Volvo Sihombing ◽  
Mustafha Haris Munandar ◽  
◽  
...  

Edge detection is one of the algorithms used in Digital Image Processing. This algorithm serves to identify the line/edge of the image object to highlight the boundary lines of the image information. Edge is a set of connected pixels (connected pixels) that restricts the objects contained in the image. Senses the eye is one that is used by humans to see.However, the human eye has its limitations in capturing the electromagnetic signals.Therefore, created a computer or imaging machine that can capture almost the entire signal elektromagnetic. Imaging machines can work with imagery from sources that do not fit, do not fit or can not be captured by human vision. This is why digital image processing have very wide usefulness. Image processing technology can fit into a variety of fields such as medicine, geology, marine , industrial and others.Keywords:Image,Prewitt,Edge,Java,Netbeans


1992 ◽  
Vol 80 (12) ◽  
pp. 1893-1921 ◽  
Author(s):  
I. Pitas ◽  
A.N. Venetsanopoulos

Author(s):  
R. C. Gonzalez

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.


Sign in / Sign up

Export Citation Format

Share Document