Computerized Sheet-Metal Inspection Based on the Cross Network Communication

A non-traditional processing cycle for sheet-metal working based on the computerized image processing techniques is proposed. This novel system enables the effective fabrication cycle that realizes automatic inspection, quick delivery, and cost reduction.

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Automatic Inspection of Typical Microstructure Defects Based on Image Processing Techniques

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.44-47.2622 ◽

2010 ◽

Vol 44-47 ◽

pp. 2622-2626

Author(s):

Xiao Hui Chen ◽

Xiao Jun Liu

Keyword(s):

Image Processing ◽

Mass Production ◽

Quality Evaluation ◽

Quality Monitoring ◽

Structural Defects ◽

Automatic Inspection ◽

Mems Devices ◽

Defect Inspection ◽

Image Processing Techniques ◽

Processing Techniques

Micro-structural defects influence the performance of MEMS devices. For effective quality monitoring and assurance in mass-production of MEMS devices, it is necessary to conduct automatic defect inspection. In this paper, an approach based on image processing for automatic microstructure defect inspection is presented. In the approach, an Influence Region Template is built based on a reference microstructure image while it preserves the framework and restrains the tiny distortion of the reference, then the test microstructure image is compared with the Influencing Region Template for quality evaluation. By the approach, typical defects such as blocks in trenches or channels, transfixions between trenches or channels and missing of some part and so on, are detected and classified automatically, while some distortions which do not affect the function of the microstructures are ignored. Testing results show that the approach can conduct a high quality assurance while it can endure a given distortion tolerance of microstructures.

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Automatische Erkennung von Oberflächenfehlern mit Methoden der Bildverarbeitung / Automatic inspection of surface defects using image processing techniques

tm - Technisches Messen ◽

10.1524/teme.1985.52.2.67 ◽

1985 ◽

Vol 52 (2) ◽

Cited By ~ 3

Author(s):

G. Stein

Keyword(s):

Image Processing ◽

Surface Defects ◽

Automatic Inspection ◽

Image Processing Techniques ◽

Processing Techniques

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An automatic inspection and control method for a biological reagent production system with image processing techniques

Sensor Review ◽

10.1108/02602281111110022 ◽

2011 ◽

Vol 31 (2) ◽

pp. 166-172 ◽

Cited By ~ 2

Author(s):

Chern‐Sheng Lin ◽

Yung‐Yen Su ◽

Hung‐Jung Shei ◽

Chuen‐Lin Tien ◽

An‐Tsung Lu

Keyword(s):

Image Processing ◽

Production System ◽

Control Method ◽

Automatic Inspection ◽

Image Processing Techniques ◽

Processing Techniques ◽

And Control

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Three-Dimensional Structure of Rotavirus-Fab Complex

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100179944 ◽

1990 ◽

Vol 48 (1) ◽

pp. 238-239

Author(s):

B.V.V. Prasad ◽

E. Marietta ◽

J.W. Burns ◽

M.K. Estes ◽

W. Chiu

Keyword(s):

Image Processing ◽

Smooth Surface ◽

Three Dimensional ◽

Outer Shell ◽

Dimensional Structure ◽

Structural Studies ◽

Cell Penetration ◽

Electron Cryomicroscopy ◽

Image Processing Techniques ◽

Processing Techniques

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.

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A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit2063211 ◽

2020 ◽

pp. 967-973

Author(s):

V. Deepika ◽

T. Rajasenbagam

Keyword(s):

Image Processing ◽

Brain Tumor ◽

Soft Tissues ◽

Tumor Detection ◽

Tumor Classification ◽

Normal Brain ◽

Image Processing Techniques ◽

Normal Brain Function ◽

Processing Techniques ◽

The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

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