Image Processing Representation Using Binary Image; Grayscale, Color Image, and Histogram

2015 ◽  
pp. 353-361 ◽  
Author(s):  
Vaka Murali Mohan ◽  
R. Kanaka Durga ◽  
Swathi Devathi ◽  
K. Srujan Raju
Keyword(s):  
Image Processing ◽  
Color Image ◽  
Binary Image

A Contour Tracing Algorithm for Ginseng Shape

2013 ◽  
Vol 401-403 ◽  
pp. 1268-1271
Author(s):  
Bing Quan Huo ◽  
Feng Ling Yin
Keyword(s):  
Image Processing ◽  
Computer Technology ◽  
Color Image ◽  
Binary Image ◽  
Color Information ◽  
Edge Information ◽  
Boundary Information ◽  
Image Edge ◽  
Tracing Algorithm ◽  
Neighbourhood Algorithm

More and more applications of computer technology are used in the field of agriculture. In this paper, Image processing technology is applied to ginseng shape. Get a color image from the device, remove the color information and reserve the boundary information. Highlight the image edge information by gradient sharpening, binary image and use 8-neighbourhood algorithm for tracking the border.

Computer Processing of an Image

2021 ◽  
pp. 1-22
Author(s):  
Chandra Prabha R. ◽  
Shilpa Hiremath
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Images ◽  
Color Image ◽  
Image Representation ◽  
Computer Processing ◽  
Binary Image ◽  
Grayscale Image ◽  
Under Sampling

In this chapter, the authors have briefed about images, digital images, how the digital images can be processed. Image types like binary image, grayscale image, color image, and indexed image and various image formats are explained. It highlights the various fields where digital image processing can be used. This chapter introduces a variety of concepts related to digital image formation in a human eye. The mechanism of the human visual system is discussed. The authors illustrate the steps of image processing. Explanation on different elements of digital image processing systems like image acquisition, and others are also provided. The components required for capturing and processing the image are discussed. Concepts of image sampling, quantization, image representation are discussed. It portrays the operations of the image during sampling and quantization and the two operations of sampling which is oversampling and under-sampling. Readers can appreciate the key difference between oversampling and under-sampling applied to digital images.

New method of morphological color image processing

2010 ◽  
Vol 30 (8) ◽  
pp. 2101-2104
Author(s):  
Hong-zhong TANG ◽  
Hui-xian HUANG ◽  
Xue-feng GUO ◽  
Ye-wei XIAO
Keyword(s):  
Image Processing ◽  
Color Image ◽  
New Method ◽  
Color Image Processing

Color image design based on machine learning and SVM algorithm

2020 ◽  
pp. 1-12
Author(s):  
Li Bo
Keyword(s):  
Image Processing ◽  
Graphic Design ◽  
Management System ◽  
Computer Network ◽  
Color Image ◽  
Color Difference ◽  
Color Management ◽  
Development Mode ◽  
Operation Process ◽  
Svm Algorithm

In today’s society, graphic design, as a popular image processing technology, plays an increasingly important role in people’s lives. In the specific operation process of graphic design, It is no longer restricted to the traditional development mode, such as file format and other factors. With the development of computer network technology, people promote the development of graphic design by constructing color management system. At the same time, the construction of color management system can help people to change colors and define colors when they process image information and output pictures. In the process of printing pictures, in order to make the colors used in the design process clearly printed out and without color difference, there are still many problems to be considered. First, we need to consider the unexpected situation and the complexity of image processing. Based on the introduction of computer learning, this paper will discuss and study the development of graphic design by SVM theory.

scholarly journals Visualization and Color Image Processing of Flow Mixing in an Air Conditioning Unit for Automobiles.

1996 ◽  
Vol 62 (593) ◽  
pp. 153-157 ◽  
Author(s):  
Nobuyuki FUJISAWA ◽  
Toshiaki KURIBARA ◽  
Masaji YOKOTA ◽  
Hiroshi TANA-AMI ◽  
Isao WATANABE
Keyword(s):  
Image Processing ◽  
Air Conditioning ◽  
Color Image ◽  
Color Image Processing ◽  
Flow Mixing

NeuroSeek dual-color image processing infrared focal plane array

1998 ◽  
Author(s):  
Paul L. McCarley ◽  
Mark A. Massie ◽  
Christopher R. Baxter ◽  
Buu L. Huynh
Keyword(s):  
Image Processing ◽  
Focal Plane ◽  
Color Image ◽  
Focal Plane Array ◽  
Color Image Processing ◽  
Infrared Focal Plane Array ◽  
Dual Color
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