scholarly journals Automated Image Processing to Quantify Cell Migration

2013 ◽  
pp. 152-157 ◽  
Author(s):  
Minmin Shen ◽  
Bastian Zimmer ◽  
Marcel Leist ◽  
Dorit Merhof
Keyword(s):  
Image Processing ◽  
Cell Migration ◽  
Automated Image Processing

scholarly journals Ранняя диагностика меланомы кожи с применением нескольких изображающих систем

2020 ◽  
Vol 128 (6) ◽  
pp. 820
Author(s):  
К.Г. Кудрин ◽  
Е.Н. Римская ◽  
И.А. Аполлонова ◽  
А.П. Николаев ◽  
Н.В. Черномырдин ◽  
...  
Keyword(s):  
Image Processing ◽  
Measurement Errors ◽  
Skin Neoplasms ◽  
Imaging Systems ◽  
Clinical Parameters ◽  
Skin Melanoma ◽  
Clinical Images ◽  
Melanoma Diagnosis ◽  
Complex Approach ◽  
Automated Image Processing

A complex approach to the early diagnosis of skin melanoma has been proposed. The approach involves a step-by-step examination of pigment tumors using several imaging systems. The features of morphometry of clinical images of pigmented skin neoplasms, features of imaging systems, the main stages of automated image processing and pattern recognition in the melanoma diagnosis has been considered. The metrological features of the proposed approach has been shown: the measurement errors of the clinical parameters of skin neoplasms by the proposed methods do not exceed the allowable errors. The approbation of the offered approach has been showed that sensitivity and specificity of the used methods exceeds 90%

Automated image processing of the colon crypt epithelium

1982 ◽  
Vol 15 (2) ◽  
pp. 155-163 ◽  
Author(s):  
G. Zajicek ◽  
H.P. Meinzer ◽  
D. Komitowski
Keyword(s):  
Image Processing ◽  
Colon Crypt ◽  
Crypt Epithelium ◽  
Automated Image Processing

Automated image-processing for counting seedlings in a wheat field

2015 ◽  
Vol 17 (4) ◽  
pp. 392-406 ◽  
Author(s):  
Tao Liu ◽  
Wei Wu ◽  
Wen Chen ◽  
Chengming Sun ◽  
Xinkai Zhu ◽  
...  
Keyword(s):  
Image Processing ◽  
Wheat Field ◽  
Automated Image Processing

Evaluations on the Applicability of Generic and Modular Image Processing Chains for Quantitative 3D Data Analysis in Clinical Research and Radiographer Training

2017 ◽  
pp. 1480-1500
Author(s):  
Gerald Adam Zwettler ◽  
Werner Backfrieder
Keyword(s):  
Image Processing ◽  
Clinical Research ◽  
Process Model ◽  
Region Growing ◽  
Medical Diagnostics ◽  
3D Analysis ◽  
Anatomical Structures ◽  
3D Data ◽  
Practical Instruction ◽  
Automated Image Processing

The introduction of digital imaging and diagnostics facilities has fundamentally changed radiology. Nevertheless, theory of digital image processing and analysis as well as their practical application are still only a subsidiary part in nowadays radiology technician curricula. This work focuses on the evaluation, to what extent the authors' simplified and standardized process model for applying image processing modules in generic domains is suited for radiographer students and medical staff, lacking deeper theoretical knowledge compared to physicians and imaging experts. The semi-automated image processing workflow thereby comprises region growing, live-wire segmentation and filtering steps, all available from MeVisLab prototyping framework. It is shown that the proposed imaging chain is highly applicable for analysis and facilitating medical diagnostics of arbitrary anatomical structures from tomographic data. After compact practical instruction, radiographer students are versed to achieve complex 3D analysis perfectly suited for quantitative analysis in clinical research typically only achievable by use of specialized software.

scholarly journals The development of modern automated image processing and transfer systems for agriculture unmanned aerial vehicles

2020 ◽  
Vol 161 ◽  
pp. 01087 ◽  
Author(s):  
Marina Vasileva ◽  
Ilyas Ismagilov ◽  
Alexander Gerasimov
Keyword(s):  
Image Processing ◽  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Crop Yields ◽  
Walsh Functions ◽  
Aerial Vehicles ◽  
Transmission Of Information ◽  
High Resolution Images ◽  
Automated Image Processing

The paper contains results of analytic research of unmanned aerial vehicles using in agriculture. The main problems arising in the creation and subsequent large volumes of high-resolution images real time transfer in unmanned aerial vehicles are highlighted. The Automated image processing and transfer system using new methods of information compression on unmanned aerial vehicles board is proposed. The paper considers the issues of consider the problems of constructing new orderings of Walsh functions and constructing fast compression algorithms in synthesized systems of discrete Walsh functions. For processing and subsequent transmission of information from UAVs recommended to use the fast DWT procedure, it allows for a hardware implementation capable of the real-time conversion performing due to its simplicity. The introduction of the proposed solutions for UAVs in agriculture allows to increase accurasy of electronic cartographic material, to keep electronic records of agricultural operations, to carry out operational monitoring of the crops state and to respond quickly for violations and deviations, to predict crop yields and plan their activities for short-term and long-term prospects.

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