A Framework Design of Spatial Gamut Mapping

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.468-471.628 ◽

2012 ◽

Vol 468-471 ◽

pp. 628-632

Author(s):

Xiao Zhou Li

Keyword(s):

Bilateral Filter ◽

Processing Technique ◽

Image Processing Technique ◽

Digital Printing ◽

Mapping Technique ◽

Mapping Algorithms ◽

Gamut Mapping ◽

Framework Design ◽

Image Characteristics ◽

Mapping Theory

The common filters used in spatial gamut mapping algorithms were studied in this paper which included Gaussian filter and bilateral filter based on spatial gamut mapping theory. And one framework of spatial gamut mapping oriented to digital printing was designed which combined the printing image characteristics and reproduction requirements. The framework combined printing image processing technique and gamut mapping technique and the results help to choose or develop better spatial gamut mapping algorithms oriented to digital printing.

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Analysis of cassava chip image characterization during drying process

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/924/1/012016 ◽

2021 ◽

Vol 924 (1) ◽

pp. 012016

Author(s):

Sandra ◽

Y Hendrawan ◽

R Damayanti ◽

L P R Perdana

Keyword(s):

Food Processing ◽

Processing Technique ◽

Image Processing Technique ◽

Drying Process ◽

Monitoring Method ◽

Digital Image Processing Technique ◽

Image Characteristics ◽

Image Characteristic ◽

Color Data ◽

Image Pixels

Abstract Monitoring method during food processing is an indispensable activity in the industry of food processing. A digital image processing technique is one of the methods to process images into information in the form of product physical condition. This study aimed to monitor the changes in cassava chips image characteristics through the images along the drying process. The image characteristic i.e covered color, texture, and area. The images were captured by using Webcam type Logitech C525 8.0 megapixel autofocus per minute. Then, the result of these images was processed to get color data of R, G, B, H, S, I, L, a*, b* and the texture i.e. energy, homogeneity, contrast, entropy, and to identify chips size was processed by the number of pixels of the image. While the data about the mass changes along the drying process were taken per minute from a digital scale. The results of this study showed that the length of drying made the value of R, G, B, H and I decreased, but the value of S contrastively increased. The area or the number of image pixels declined dramatically in 1 hour of drying, later (after one hour of drying) the decline was almost zero.

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A Novel Method of Acquiring the Digital Image Characteristics of Rock

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.4847 ◽

2014 ◽

Vol 556-562 ◽

pp. 4847-4850

Author(s):

Zhong Ze Xu ◽

Jian Hua Wu ◽

Jin Song Zhu ◽

Wei Dong Xu

Keyword(s):

Image Processing ◽

Digital Image Processing ◽

Geographic Distribution ◽

Digital Image ◽

Processing Technique ◽

Image Processing Technique ◽

Digital Image Processing Technique ◽

Image Characteristics ◽

Novel Method ◽

The Way

To obtain the characteristics of rock is one of the most significant methods in reconnaissance in order to make the project camouflaged. This paper, which is based on the former study on digital image processing technique, is mainly about the way to acquire the general and detailed information, such as geographic distribution and specific texture of rock. The technique put forward in the paper is fundamental to carry out reconnaissance, design the project and evaluate the camouflage effect.

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A New Image Processing Technique for STEM

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100052171 ◽

1974 ◽

Vol 32 ◽

pp. 432-433

Author(s):

Yasushi Kokubo ◽

Hirotami Koike ◽

Teruo Someya

Keyword(s):

Electron Microscopy ◽

Image Processing ◽

Scanning Electron Microscopy ◽

Elastic Scattering ◽

Field Emission ◽

Processing Technique ◽

Image Processing Technique ◽

Energy Analyzer ◽

Scanning Microscope ◽

Scanning Electron

One of the advantages of scanning electron microscopy is the capability for processing the image contrast, i.e., the image processing technique. Crewe et al were the first to apply this technique to a field emission scanning microscope and show images of individual atoms. They obtained a contrast which depended exclusively on the atomic numbers of specimen elements (Zcontrast), by displaying the images treated with the intensity ratio of elastically scattered to inelastically scattered electrons. The elastic scattering electrons were extracted by a solid detector and inelastic scattering electrons by an energy analyzer. We noted, however, that there is a possibility of the same contrast being obtained only by using an annular-type solid detector consisting of multiple concentric detector elements.

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A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

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

10.32628/cseit183863 ◽

2018 ◽

pp. 194-200

Author(s):

J. Magelin Mary ◽

Chitra K. ◽

Y. Arockia Suganthi

Keyword(s):

Genetic Algorithm ◽

Image Processing ◽

Medical Image ◽

Medical Image Processing ◽

Processing Technique ◽

Input Image ◽

Image Processing Technique ◽

Computational Time ◽

Image Mining ◽

The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

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An Enhanced Technique for Classification of Fruits using Shape Color and Texture Features

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i7/0107 ◽

2017 ◽

Vol 7 (7) ◽

pp. 408

Author(s):

Yashpal Jitarwal ◽

Tabrej Ahamad Khan ◽

Pawan Mangal

Keyword(s):

Image Processing ◽

Texture Features ◽

Automatic Classification ◽

Processing Technique ◽

Image Processing Technique ◽

Advance Technique ◽

Time Required ◽

Fruit Sorting ◽

Human Inspection

In earlier times fruits were sorted manually and it was very time consuming and laborious task. Human sorted the fruits of the basis of shape, size and color. Time taken by human to sort the fruits is very large therefore to reduce the time and to increase the accuracy, an automatic classification of fruits comes into existence.To improve this human inspection and reduce time required for fruit sorting an advance technique is developed that accepts information about fruits from their images, and is called as Image Processing Technique.

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