scholarly journals Automated Image Processing Workflow for Morphological Analysis of Fluorescence Microscopy Cell Images

JOM ◽  
2021 ◽  
Author(s):  
Sven P. Voigt ◽  
K. Ravikumar ◽  
Bikramjit Basu ◽  
Surya R. Kalidindi
Keyword(s):  
Image Processing ◽  
Fluorescence Microscopy ◽  
Morphological Analysis ◽  
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%

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 A Study on Pre-processing Algorithms for Metal Parts Inspection

2011 ◽  
Vol 7 (1) ◽  
pp. 1-4
Author(s):  
Haider Hashim ◽  
Anton Prabuwono ◽  
Siti Norul Huda Abdullah
Keyword(s):  
Image Processing ◽  
Morphological Analysis ◽  
Image Understanding ◽  
Detection Methods ◽  
Experimental Result ◽  
Inspection System ◽  
Metal Parts ◽  
Analysis Task ◽  
Processing Step ◽  
Filter Noise

Pre-processing is very useful in a variety of situations since it helps to suppress information that is not related to the exact image processing or analysis task. Mathematical morphology is used for analysis, understanding and image processing. It is an influential method in the geometric morphological analysis and image understanding. It has befallen a new theory in the digital image processing domain. Edges detection and noise reduction are a crucial and very important pre-processing step. The classical edge detection methods and filtering are less accurate in detecting complex edge and filtering various types of noise. This paper proposed some useful mathematic morphological techniques to detect edge and to filter noise in metal parts image. The experimental result showed that the proposed algorithm helps to increase accuracy of metal parts inspection system.

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
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