scholarly journals APPLICATION OF THE THREE-DIMENSIONAL IMAGE EDGE FEATURE EXTRACTION IN MECHANICAL ARM POSITION GRASPING AND ATTITUDE DETECTION

2021 ◽  
Vol 1 (10) ◽  
Keyword(s):  
Feature Extraction ◽  
Three Dimensional ◽  
Dimensional Image ◽  
Arm Position ◽  
Image Edge ◽  
Attitude Detection ◽  
Edge Feature

Cancer Cell Image Analysis and Visualization

2012 ◽  
pp. 233-243
Author(s):  
Tae-Yun Kim ◽  
Hae-Gil Hwang ◽  
Heung-Kook Choi
Keyword(s):  
Image Analysis ◽  
Feature Extraction ◽  
Case Studies ◽  
Cancer Cell ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Dimensional Image ◽  
The Past ◽  
Cell Image ◽  
Cell Image Analysis

We review computerized cancer cell image analysis and visualization research over the past 30 years. Image acquisition, feature extraction, classification, and visualization from two-dimensional to three-dimensional image algorithms are introduced with case studies of bladder, prostate, breast, and renal carcinomas.

Cancer Cell Image Analysis and Visualization

2010 ◽  
Vol 1 (1) ◽  
pp. 53-63
Author(s):  
Tae-Yun Kim ◽  
Hae-Gil Hwang ◽  
Heung-Kook Choi
Keyword(s):  
Image Analysis ◽  
Feature Extraction ◽  
Case Studies ◽  
Cancer Cell ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Dimensional Image ◽  
The Past ◽  
Cell Image ◽  
Cell Image Analysis

We review computerized cancer cell image analysis and visualization research over the past 30 years. Image acquisition, feature extraction, classification, and visualization from two-dimensional to three-dimensional image algorithms are introduced with case studies of bladder, prostate, breast, and renal carcinomas.

scholarly journals A Method of Three-Dimensional Recording of Mandibular Movement Based on Two-Dimensional Image Feature Extraction

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0137507 ◽  
Author(s):  
Fusong Yuan ◽  
Huaxin Sui ◽  
Zhongke Li ◽  
Huifang Yang ◽  
Peijun Lü ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Three Dimensional ◽  
Image Feature ◽  
Two Dimensional ◽  
Mandibular Movement ◽  
Image Feature Extraction ◽  
Dimensional Image ◽  
Two Dimensional Image

An Improved Image Edge Feature Extraction Algorithm Based on Ant Colony Algorithm

2012 ◽  
Vol 490-495 ◽  
pp. 120-123 ◽  
Author(s):  
Lin Gui
Keyword(s):  
Feature Extraction ◽  
Optimization Design ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
New Method ◽  
Advisory Council ◽  
Feature Extraction Algorithm ◽  
Extraction Algorithm ◽  
Image Edge ◽  
Edge Feature

In this paper, a new method for the optimization design of ant colony algorithm is used to extract the edge character of the model in the air of the image. The organization is as follows: the second part is a basic ant colony algorithm in the edge of the model feature extraction. The result of the advisory council on AIDS will be compared with the results analysis, and think this is smart operator most edge feature extraction operator. Contrast indicates that the algorithm can effectively edge feature extraction, especially the image.

Criteria and Methods for Reliable Three-Dimensional Image Reconstruction

1974 ◽  
Vol 32 ◽  
pp. 330-331
Author(s):  
R. A. Crowther
Keyword(s):  
Image Reconstruction ◽  
Finite Number ◽  
Density Distribution ◽  
Electron Micrographs ◽  
Mathematical Problem ◽  
Three Dimensional ◽  
Ideal Case ◽  
Dimensional Image ◽  
General Object ◽  
The Ideal

The reconstruction of a three-dimensional image of a specimen from a set of electron micrographs reduces, under certain assumptions about the imaging process in the microscope, to the mathematical problem of reconstructing a density distribution from a set of its plane projections.In the absence of noise we can formulate a purely geometrical criterion, which, for a general object, fixes the resolution attainable from a given finite number of views in terms of the size of the object. For simplicity we take the ideal case of projections collected by a series of m equally spaced tilts about a single axis.

A Three-dimensional Camera: Development and Applications of a Three-dimensional Image Measurement System

2011 ◽  
Vol 131 (2) ◽  
pp. 320-328 ◽  
Author(s):  
Cunwei Lu ◽  
Hiroya Kamitomo ◽  
Ke Sun ◽  
Kazuhiro Tsujino ◽  
Genki Cho
Keyword(s):  
Measurement System ◽  
Three Dimensional ◽  
Image Measurement ◽  
Dimensional Image
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