Design and Implementation of Digital Image Processing Teaching Demonstration System

2013 ◽  
Vol 347-350 ◽  
pp. 3237-3241
Author(s):  
Shi Min Zhang
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Color Image ◽  
Color Image Processing ◽  
Practical Application ◽  
Image Transformation ◽  
Design And Implementation ◽  
Image Edge Detection ◽  
Image Edge

Digital image processing technology is widely used in the further application of computer graphics. This thesis introduces a digital image processing teaching demonstration system including image file management, image transformation, color image processing, binarization, image enhancement, and image edge detection extra. In function, it embraces basic skills in digital image processing. This thesis is a favorable assistant in your study and practical application by means of friendly operation interface, the contrast of image processing effect demonstration and algorithm routine.

scholarly journals Algorithmic Approaches For Image Edge Detection

2021 ◽  
Vol 10 (3) ◽  
pp. 1942-1948
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Edge Detection ◽  
Image Enhancement ◽  
Digital Image Processing ◽  
Digital Image ◽  
Image Edge Detection ◽  
Image Edge ◽  
Algorithmic Approaches

Edge detection is most important technique in digital image processing. It play an important role in image segmentation and many other applications. Edge detection providesfoundation to many medical and military applications.It difficult to generate a generic code for edge detection so many kinds ofalgorithms are available. In this article 4 different approaches Global image enhancement with addition (GIEA), Global image enhancement with Multiplication (GIEM),Without Global image enhancement with Addition (WOGIEA),and without Global image enhancement with Multiplication (WOGIEM)for edge detection is proposed. These algorithms are validatedon 9 different images. The results showthat GIEA give us more accurate results as compare to other techniques.

A Promotion of a Color Morphological Filter

2014 ◽  
Vol 548-549 ◽  
pp. 1064-1067
Author(s):  
Shui Ming He
Keyword(s):  
Image Processing ◽  
Mathematical Morphology ◽  
Digital Image Processing ◽  
Digital Image ◽  
Color Image ◽  
Processing Method ◽  
Color Image Processing ◽  
Morphological Filter ◽  
Morphological Operators ◽  
Gray Image

Mathematical morphology can be seen as a special digital image processing method and theory, which has been widely used in various fields. In this paper, the mathematical morphology is applied to the color image processing. In thespace of color image, I have simply expounded the theories and properties of color morphological changs, and defined its morphological operators. According to the application of omni-directional and multi-angle structuring elements composite morphological filter in gray image, I put forward a kind of color morphological filter with omni-directional and multi-angle structuring elements composite. This algorithm has retained its advantages in gray image, however, remaining some drawbacks. Through the optimization of results based on this algorithm, we finally get the relatively ideal denoising effects.

scholarly journals DIGITAL IMAGE PROCESSING MENGGUNAKAN PERANGKAT LUNAK NI VISION DAN IP KAMERA DENGAN ROVER BOGIE ROBOT

2019 ◽  
Vol 6 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Arif Ainur Rafiq ◽  
Muhamad Yusuf ◽  
Pujono Pujono
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Mobile Phone ◽  
Digital Image Processing ◽  
Digital Image ◽  
Image Edge Detection ◽  
Ip Camera ◽  
Image Edge

Penjelajahan lapangan sering diperlukan untuk tujuan penelitian ataupun dokumentasi. Berbagai macam resiko diabaikan demi tereksplorasinya suatu tempat. Serangan binatang buas dan cuaca ekstrim menjadi contoh bahaya yang dapat menimbulkan resiko apabila penjelajahan melibatkan manusia secara langsung. Medan yang sulit juga dapat menghambat penelitian serta pengambilan dokumentasi. Untuk mengatasi permasalahan di atas dibuatlah Rover Bogie Robot. Pada robot terpasang kamera guna memudahkan penelitian dan dokumentasi. Robot yang didesain berupa robot penjelajah dengan suspensi passive rocker bogie. Robot penjelajah ini bisa melalui berbagai medan dengan karakteristik yang berbeda. Gambar dokumentasi akan diolah pada Digital Image Processing yang akan mempermudah observasi. Mikrokontroller yang digunakan pada robot ini yaitu Arduino Mega. Kamera yang digunakan adalah IP Camera pada mobile phone dengan menggunakan aplikasi IP Webcam dan Configure IP Adapter serta LabVIEW Vision sebagai GUI (Graphical Unit Interface) dan kontrol pengambilan gambar. Sebagai pengendali, digunakan wireless joystick. Digital Image Processing yang digunakan yaitu Extract Single Color, Threshold Image, Edge Detection dan RGB Gain. Berdasarkan pengujian, pengolahan gambar menggunakan Digital Image Processing dapat bekerja sesuai dengan yang diharapkan. Robot dapat melewati berbagai karakterisitik medan yaitu bebatuan ringan, berumput rendah, medan dengan permukaan tidak rata dan naik dengan ketinggian maksimal 5 cm. Pengujian kontrol menggunakan wireless joystick dapat dilakukan dengan jarak maksimal 11 meter. Secara keseluruhan, Rover Bogie Robot dapat digunakan sebagai media untuk penjelajahan yang bertujuan untuk penelitian dan dokumentasi pada medan dengan karakteristik yang berbeda menggunakan kontrol wireless joystick. 

Applications of Color Morphology in Image Denoising

2014 ◽  
Vol 1037 ◽  
pp. 393-397
Author(s):  
Shui Ming He ◽  
Xue Lin Li
Keyword(s):  
Image Processing ◽  
Mathematical Morphology ◽  
Digital Image Processing ◽  
Color Image ◽  
Morphological Changes ◽  
Processing Method ◽  
Color Model ◽  
Color Image Processing ◽  
Morphological Filter ◽  
Gray Image

Mathematical morphology can be seen as a special digital image processing method and theory, which has been widely used in various fields. In this paper, the mathematical morphology is applied to the color image processing. In thespace of color image, I have simply expounded the theories and properties of color morphological changes, and defined its morphological operators. According to the application of omni-directional and multi-angle structuring elements composite morphological filter in gray image, I put forward a kind of color morphological filter with omni-directional and multi-angle structuring elements composite. This algorithm has retained its advantages in gray image, however, remaining some drawbacks. Through the optimization of results based on this algorithm, we finally get the relatively ideal denoising effects.Keywords: mathematical morphology;color model;color model; color morphological filter

Digital image processing color image scanner

1989 ◽  
Author(s):  
Yamaji ◽  
Yoshino ◽  
Ishitobi ◽  
Araki ◽  
Ikeda ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Color Image

The Research of the Digital Image-Processing of Colorful Painting

2014 ◽  
Vol 926-930 ◽  
pp. 3709-3712
Author(s):  
Yun Zhan ◽  
Jie Lei
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Images ◽  
Color Space ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Practical Application ◽  
Digital Image Processing Technique ◽  
Basic Concepts

The research of the digital image-processing of colorful painting is mainly to aim at the objective circumstances between the digital image and drawing flat vision distortion. This paper is based on the basic concepts of the digital image-processing technique. It expounds digital images advantage, collect, characteristics, recognition and the choice of the color space, the practical application of the digital image in the painting area in sequence. Through the study, we found computer has powerful ability to analyze management in the colorful painting field.

scholarly journals Comparison of Adaptive Ant Colony Optimization for Image Edge Detection of Leaves Bone Structure

2018 ◽  
Vol 6 (2) ◽  
pp. 328-336 ◽  
Author(s):  
Febri Liantoni ◽  
Rifki Indra Perwira ◽  
Daniel Silli Bataona
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Ant Colony Optimization ◽  
Digital Image Processing ◽  
Optimization Algorithm ◽  
Bone Structure ◽  
Ant Colony ◽  
Ant Colony Optimization Algorithm ◽  
Image Edge Detection ◽  
Image Edge

Leaf bone structure has a characteristic that can be used as a reference in digital image processing. One form of digital image processing is image edge detection. Edge detection is the process of extracting edge information from an image. In this research, Adaptive Ant Colony Optimization algorithm is proposed for edge image detection of leaf bone structure. The Adaptive Ant Colony Optimization method is a modification of Ant Colony Optimization, in which the initial an ant dissemination process is no longer random, but it is done by a pixel placement process that allows for an edge based on the value of the image gradient. As a comparison also performed edge detection using Robert and Sobel method. Based on the experiments performed, Adaptive Ant Colony Optimization algorithm is capable of producing more detailed image edge detection and has thicker borders than others. Keywords: edge detection, ant colony optimization, robert, sobel

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