scholarly journals 3D interactive visualization using image color distribution

2018 ◽  
Vol 7 (3.3) ◽  
pp. 397 ◽  
Author(s):  
Chaelin Lee ◽  
Sanghyun Seo
Keyword(s):  
Image Processing ◽  
Statistical Analysis ◽  
Image Manipulation ◽  
Rapid Progress ◽  
Color Information ◽  
Color Distribution ◽  
3D Space ◽  
Recent Advancement ◽  
Cognitive Information ◽  
Color Composition

Background/Objectives: Technologies related to image processing such as transforming the atmosphere of images or adding effects to images have been making rapid progress owing to the recent advancement of media.Methods/Statistical analysis: We need to devise methods to easily identify color composition and distribution in 3D space. This study introduces a method of visualizing the color distribution in 3D using standard color models so that the distribution pattern of color information in images can be easily understood.Findings: The distribution of colors that make up these images provides people with various stimuli and cognitive information. In order to convert images according to the user's intention in image manipulation research, the process of analyzing the images is very important, yet it is also significant to confirm that they have been converted as intended.Improvements/Applications: Our proposed method enables the user to intuitively understand and recognize color information of image.  

Interacting in 3D Space: Comparison of a 3D Two-handed Interface to a Keyboard-and-mouse Interface for Medical 3D Image Manipulation

2009 ◽  
Author(s):  
F. Jacob Seagull ◽  
Peter Miller ◽  
Ivan George ◽  
Paul Mlyniec ◽  
Adrian Park
Keyword(s):  
Image Manipulation ◽  
3D Image ◽  
3D Space

Detection of Leukemia Using Image Processing

2018 ◽  
Vol 8 (4) ◽  
pp. 61
Author(s):  
A. Sivasangari ◽  
G. Sasikumar
Keyword(s):  
Image Processing ◽  
Statistical Analysis ◽  
Early Detection ◽  
Visual Inspection ◽  
Causes Of Death ◽  
Cure Rate ◽  
Blood Disorders ◽  
Detection And Diagnosis ◽  
The Moment ◽  
Early Detection And Diagnosis

Leukemia   disease   is one   of    the   leading   causes   of death   among   human. Its  cure  rate and  prognosis   depends   mainly   on  the  early  detection   and  diagnosis  of   the  disease. At  the  moment, identification  of  blood  disorders  is  through   visual  inspection  of  microscopic  images  by  examining  changes  like  texture, geometry, colour  and   statistical  analysis  of  images . This  project  aims  to  preliminary  of  developing  a  detection  of  leukemia  types  using   microscopic  blood  sample using MATLAB. Images  are  used  as  they  are  cheap  and  do  not  expensive  for testing  and  lab  equipment.

Experimental investigation of single bubbles rising in stagnant liquid: Statistical analysis and image processing

2021 ◽  
Vol 33 (10) ◽  
pp. 103611
Author(s):  
Ida K. Kure ◽  
Hugo A. Jakobsen ◽  
Nicolas La Forgia ◽  
Jannike Solsvik
Keyword(s):  
Image Processing ◽  
Experimental Investigation ◽  
Statistical Analysis

Mean Shift-Based Target Tracking for Moving Spherical Object in Video

2014 ◽  
Vol 623 ◽  
pp. 156-160
Author(s):  
Bo Zhao Li
Keyword(s):  
Target Tracking ◽  
Mean Shift ◽  
Feature Points ◽  
Color Information ◽  
Spherical Object ◽  
Color Feature ◽  
Color Distribution ◽  
Distribution Probability ◽  
Flow Algorithm ◽  
Tracking Object

When researching on target tracking in the on or off line video, using a variety of methods such as MeanShift, Camshaft’s, feature points and optical flow algorithm. MeanShift target tracking algorithm is introduced in this paper. Firstly, tracking object is selected by human-computer interaction. Then color feature histogram is obtained using RGB color information, and color distribution probability image is got by converting color feature histogram. Finally, by comparing the probability difference of color distribution of the adjacent frames, motion directions of the object’s center are obtained, which object can be effectively tracked.

Interactive Image Processing and Manipulation

2007 ◽  
Author(s):  
Stephen S. Nestinger ◽  
Harry H. Cheng
Keyword(s):  
Image Processing ◽  
Rapid Prototyping ◽  
Rapid Development ◽  
Imaging Informatics ◽  
Image Manipulation ◽  
Web Based ◽  
Diverse Range ◽  
Electronic Imaging ◽  
Dynamic Manipulation

Electronic imaging informatics spans a diverse range of applications. These applications would benefit from an interpretive imaging platform, which allows dynamic manipulation and processing of electronic images. Ch is an embeddable C/C++ interpreter that provides an interpretive platform for C/C++ based scripts and programs. Combining Ch with ImageMagick provides the functionality for rapid development of user defined image manipulation and processing applications and scripts. The presented Ch ImageMagick package provides users with the ability to interpretively execute C code based on the ImageMagick C library. This article describes the integration of ImageMagick and Ch. The use of ImageMagick utilities in Ch scripts for rapid prototyping is illustrated. A Web-based example demonstrates the use of Ch and ImageMagick in C based CGI scripting to facilitate the development of Web-based applications involving image manipulation and processing.

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