scholarly journals Visual Inspection System for Thin Film Magnetic Heads Using Optical Enhancement and Gray Scale Image Processing

1994 ◽  
Vol 30 (5) ◽  
pp. 509-518
Author(s):  
Yukio MATSUYAMA ◽  
Hisafumi IWATA ◽  
Hitoshi KUBOTA ◽  
Hidehiro IKEDA
Keyword(s):  
Thin Film ◽  
Image Processing ◽  
Visual Inspection ◽  
Inspection System ◽  
Gray Scale ◽  
Gray Scale Image

scholarly journals Analysis of the Cluster Prominence Feature for Detecting Calcifications in Mammograms

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Alejandra Cruz-Bernal ◽  
Martha M. Flores-Barranco ◽  
Dora L. Almanza-Ojeda ◽  
Sergio Ledesma ◽  
Mario A. Ibarra-Manzano
Keyword(s):  
Digital Image ◽  
Visual Inspection ◽  
Experimental Results ◽  
Gray Scale ◽  
High Expectation ◽  
Weak Classifier ◽  
White Region ◽  
Gray Scale Image ◽  
Global Representation

In mammograms, a calcification is represented as small but brilliant white region of the digital image. Earlier detection of malignant calcifications in patients provides high expectation of surviving to this disease. Nevertheless, white regions are difficult to see by visual inspection because a mammogram is a gray-scale image of the breast. To help radiologists in detecting abnormal calcification, computer-inspection methods of mammograms have been proposed; however, it remains an open important issue. In this context, we propose a strategy for detecting calcifications in mammograms based on the analysis of the cluster prominence (cp) feature histogram. The highest frequencies of the cp histogram describe the calcifications on the mammography. Therefore, we obtain a function that models the behaviour of the cp histogram using the Vandermonde interpolation twice. The first interpolation yields a global representation, and the second models the highest frequencies of the histogram. A weak classifier is used for obtaining a final classification of the mammography, that is, with or without calcifications. Experimental results are compared with real DICOM images and their corresponding diagnosis provided by expert radiologists, showing that the cp feature is highly discriminative.

scholarly journals A NOVEL METHOD FOR INSPECTION DEFECTS IN COMMERCIAL EGGS USING COMPUTER VISION

2021 ◽  
Vol XLIII-B2-2021 ◽  
pp. 809-816
Author(s):  
Y. M. Valencia ◽  
J. J. Majin ◽  
V. B. Taveira ◽  
J. D. Salazar ◽  
M. E. Stivanello ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Visual Inspection ◽  
Working Hours ◽  
Inspection System ◽  
Learning Approaches ◽  
Visual Fatigue ◽  
Long Working Hours ◽  
Novel Method ◽  
Classical Image

Abstract. The objective of this work is to compare the use of classical image processing approaches with deep learning approaches in a visual inspection system for defects in commercial eggs. Currently, many industries perform the detection of defects in eggs manually, this implies a large number of workers with long working hours who are exposed to visual fatigue and physical and mental discomfort. As a solution, this work proposes to develop an automatic inspection technique for defects in eggs using computer vision, capable of being operable in the industry. Different image processing approaches were evaluated in order to determine the best solution in terms of performance and processing time.

The Effects of Gray Scale Image Processing on Digital Mammography Interpretation Performance1

2005 ◽  
Vol 12 (5) ◽  
pp. 585-595 ◽  
Author(s):  
Elodia B. Cole ◽  
Etta D. Pisano ◽  
Donglin Zeng ◽  
Keith Muller ◽  
Stephen R. Aylward ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Mammography ◽  
Gray Scale ◽  
Gray Scale Image

Reconfigurable Image Acquisition in the Machine Vision Inspection System

2012 ◽  
Vol 197 ◽  
pp. 376-380
Author(s):  
Da Xing Zhao ◽  
Lei Peng ◽  
Guo Dong Sun ◽  
Wei Feng
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Image Matching ◽  
Visual Inspection ◽  
Detection System ◽  
Image Acquisition ◽  
Inspection System ◽  
Image Detection ◽  
Vision Inspection ◽  
Machine Vision Inspection

Since camera drivers provided by the different manufacturers are not compatible, machine vision systems must be redeveloped according to specific camera. It is great significant to work out the problem, which could improve the versatility of the inspection system. The reconfigurable technology has applied to image processing, image matching and so on. Hence, in the paper the reconfigurable image acquisition module is designed, which reserves some interfaces for the image detection module. Citing the nonel visual inspection system as an example, adopting DALSA and BASLER cameras to acquire the images, the images was displayed properly. Therefore, the compatibility of the image detection system has been improved greatly.

Gray-scale image processing using topological operators

1999 ◽  
Author(s):  
Michel Couprie ◽  
Francisco-Nivando Bezerra ◽  
Gilles Bertrand
Keyword(s):  
Image Processing ◽  
Gray Scale ◽  
Gray Scale Image
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