Cellular image processing using morphological analysis

2017 ◽  
Author(s):  
Mousomi Roy ◽  
Shouvik Chakraborty ◽  
Kalyani Mali ◽  
Sankhadeep Chatterjee ◽  
Soumen Banerjee ◽  
...  
Keyword(s):  
Image Processing ◽  
Morphological Analysis

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.

Morphological Analysis of Particles in Transmission Electron Microscopy Image Using Image Processing

2013 ◽  
Vol 774-776 ◽  
pp. 1262-1266
Author(s):  
Manop Phankokkruad ◽  
Wacharawichanant Sirirat
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Transmission Electron Microscopy ◽  
Morphological Analysis ◽  
Transmission Electron Microscopy Image ◽  
Processing Method ◽  
New Materials ◽  
Manual Method ◽  
Transmission Electron ◽  
Microscopy Image

The analysis of material particles in the transmission electron microscopy (TEM) image is the most important in the development and synthesis of the new materials for application in many fields. Manual identification is the hard work, spent a lot of time and inaccurate method. To solve this problem, the image processing is proposed for automatically identifies the material particles boundary and size in TEM images in or order to extract the useful data. The image processing method has been experimented on variety of TEM images and very promising results have been achieved given more accuracy. Experimental results show that the proposed method gave the high adaptability, more accurate and rapidly than the manual method.

Application of Image Processing in Plasma Jet Morphological Analysis

2012 ◽  
Vol 229-231 ◽  
pp. 1136-1139 ◽  
Author(s):  
Xiao Jing Tian ◽  
Hua Jun Dong ◽  
Da Peng Yin ◽  
Zi Yu Zhao
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Morphological Analysis ◽  
Detection Method ◽  
Plasma Jet ◽  
Improved Method ◽  
Forming Quality ◽  
Sobel Operator ◽  
Image Morphology ◽  
Edge Detection Method

The morphology of plasma jet (PJ) directly demonstrates whether the procedure of spray processes is stable. The paper proposes an acquisition system of PJ images and an improved edge detection method is presented to get the morphology of PJ. Firstly, the PJ images are gray enhanced to remove the influence of noises. Then they are enhanced with edge sharpening. At last, they are edge detected through Canny, Laplacian and Sobel operator. From the results we can see that the improved method can get more clear and more complete PJ image morphology than traditional one. The processing methods provide foundation for the online detection of PJ morphology and for diagnosing the forming quality.

scholarly journals A Non-Intrusive System to Classify the Severity of Damages Caused by Internal Corrosion Using the Potential Drop Technique and Electrical Image Mapping

2020 ◽  
Vol 15 (3) ◽  
pp. 1-7
Author(s):  
Jorge Amaral ◽  
George Leandro Dos Santos Pinto ◽  
Gil Roberto Vieira Pinheiro ◽  
Victor Gomes Silva ◽  
José Antônio Ponciano Gomes
Keyword(s):  
Image Processing ◽  
Morphological Analysis ◽  
Steel Plate ◽  
Potential Gradient ◽  
Potential Drop ◽  
Internal Corrosion ◽  
Image Mapping ◽  
Feature Extractor ◽  
Processing Techniques ◽  
Drop Technique

This work presents a non-intrusive method to obtain information about damages caused by internal corrosion in a stainless-steel plate and classify them according to their severity. The Potential Drop technique provides an electric potential gradient map, which is analyzed by the application of image processing techniques, such as morphological analysis and segmentation. Some corrosion forms can be detected by this method, like cracks and pitting corrosion; the last one is discussed in this paper. Finite Element Modeling simulations were performed to get examples of defective plates (with two classes of damages) The image processing in the simulations acts as a feature extractor that feeds a binary classifier based on Logistic Regression, which accuracy was 99.24%.

Image processing for electron energy loss microanalysis

1987 ◽  
Vol 45 ◽  
pp. 84-87
Author(s):  
F.P. Ottensmeyer ◽  
B.W. Frankland
Keyword(s):  
Image Processing ◽  
Morphological Analysis ◽  
Materials Science ◽  
Relevant Information ◽  
High Energy ◽  
Image Simulation ◽  
Subcellular Organelles ◽  
Wave Nature ◽  
Per Se ◽  
Electron Energy Loss

Over the years biology and materials science have profited greatly from the imaging potential of electron microscopy for structural and morphological analysis. Gross structures, grains, subgrains or subcellular organelles, mitochondria and the Golgi were fairly easy to interpret at a glance. However, as more high resolution detail was sought in the form of macromolecular structure, or dislocations or even atomic images, the wave nature, the finite number of electrons and specimen destruction from the high energy of the latter all made interpretation of the images more difficult. Image simulation, image analysis and image processing have helped greatly to extract relevant information and have assisted in our understanding not only of the structure per se but also of the interaction between the structure and the probing electron.

scholarly journals Image processing tools for morphological analysis of nanoscale objects

2016 ◽  
pp. 53-54
Author(s):  
Carlos Arroyo ◽  
Alexis Debut ◽  
Andrea Vaca ◽  
Brajesh Kumar ◽  
Luis Cumbal
Keyword(s):  
Image Processing ◽  
Morphological Analysis
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