scholarly journals Dental radiography image enhancement for treatment evaluation through digital image processing

2018 ◽  
pp. 0-0 ◽  
Author(s):  
H Rahmi-Fajrin ◽  
S Puspita ◽  
S Riyadi ◽  
E Sofiani
Keyword(s):  
Image Processing ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Treatment Evaluation ◽  
Dental Radiography

scholarly journals Algorithmic Approaches For Image Edge Detection

2021 ◽  
Vol 10 (3) ◽  
pp. 1942-1948
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Edge Detection ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Image Edge Detection ◽  
Image Edge ◽  
Algorithmic Approaches

Edge detection is most important technique in digital image processing. It play an important role in image segmentation and many other applications. Edge detection providesfoundation to many medical and military applications.It difficult to generate a generic code for edge detection so many kinds ofalgorithms are available. In this article 4 different approaches Global image enhancement with addition (GIEA), Global image enhancement with Multiplication (GIEM),Without Global image enhancement with Addition (WOGIEA),and without Global image enhancement with Multiplication (WOGIEM)for edge detection is proposed. These algorithms are validatedon 9 different images. The results showthat GIEA give us more accurate results as compare to other techniques.

Local Statistic Enhancement of Digital Image Based on Genetic Algorithm

2013 ◽  
Vol 427-429 ◽  
pp. 1836-1840 ◽  
Author(s):  
Yong Zhuo Wu ◽  
Zhen Tu ◽  
Lei Liu
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Experimental Results ◽  
Computer Application ◽  
Novel Method ◽  
New Research

Iamge repair using the digital image processing technology has become a new research point in computer application. A novel method of local statistic enhancement based on genetic algorithm is proposed in this paper for the image enhancement. The modified amplified function are used as the jugement criterion, and the optimal paremeters are searched by the genetic algorithm. Experimental results show that the quality of images is improved dramatically by using this method.

scholarly journals Image Enhancement Techniques in Digital Image Processing

2019 ◽  
Vol 8 (9S3) ◽  
pp. 1112-1115
Keyword(s):  
Image Processing ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
The Ideal

The procedure of image enhancement was to adjusting two or more pictures of the same scene. This procedure worried with assigning one picture as the reference also applying geometric change to alternate pictures so they adjust to suggestion. Ordinarily, the pictures are caught under variable conditions that can change camera setting. Misalignment can likewise be the consequence of lens also sensor or differentiate between catch gadgets. A geometric change maps areas in one picture to late areas in another. The progression of conclusive the ideal geometric change parameters key to the picture enhancement process. Picture enhancement was intermittently appropriate as a preparatory stride as a part of other picture hassling applications. For instance, you can utilize picture enhancement to adjust satellite pictures or to grouping of restorative pictures caught with diverse symptomatic modalities like MRI also SPECT. Picture enrollment permits you to examination of diverse picture estimations

Digital Image Processing

2018 ◽  
pp. 9-43
Keyword(s):  
Image Processing ◽  
Quality Improvement ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Images ◽  
Visual Quality ◽  
Spatial Filtering ◽  
Digital Image Enhancement ◽  
Java Code

The first two sections of this chapter introduce the motivation and fundamental theoretical perceptions towards DIP and encoding formats. The RGB system color and the visual quality improvement (by increasing the contrast with histograms enhancement techniques) are emphasized in section “Digital Image Enhancement” and “Elementary Operations With Digital Images”, respectively. Spatial filtering and masks are analyzed in section “Filtering”, which some Java code has been included for illustrative purposes. The next section explains how to save a myGeoffice© generated image to your hard disk and provides examples of image processing. Section “JHLABS® Image Editor” and “LightBox® Image Editor” depicts JHLabs®, a Web editor built on Swing technology, and Lightbox® of myGeoffice©. Its filtering capabilities are presented in the last section.

scholarly journals Comparative study of image enhancement techniques using histogram equalization on degraded images

2018 ◽  
Vol 7 (2.8) ◽  
pp. 468 ◽  
Author(s):  
Shalika Arora ◽  
Megha Agarwal ◽  
Veepin Kumar ◽  
Divya Gupta
Keyword(s):  
Image Processing ◽  
Comparative Study ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Histogram Equalization ◽  
Vital Role ◽  
Enhancement Technique ◽  
Degraded Images

Image Enhancement technique plays a vital role in digital image processing for making an image to be useful for various applications. This technique is used to improve the quality of degraded images.Usually, the degradation is not evenly spread throughout the image, but most of the time it varies from region to region. Our aim is to first identify the region where enhancement is required and improve that region without disturbing its neighbourhood which does not require any improvement. 

MATLAB-Based Digital Image Processing Technology Research

2014 ◽  
Vol 687-691 ◽  
pp. 3769-3772 ◽  
Author(s):  
Chung Yang Shi
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing Technology ◽  
Future Research ◽  
Technology Research ◽  
Image Processing Technology ◽  
The Future

This paper is an application of digital image processing technology based on MATLAB; this paper introduces the MATLAB image enhancement and image segmentation technology, in order to lay a foundation for the future research and application.

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