Practical Image and Video Processing Using MATLAB®: Marques/Practical Image Processing
02 Sep 2011-
About: The article was published on 2011-09-02. It has received 215 citations till now. The article focuses on the topics: Image processing & Digital image processing.
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TL;DR: It is shown that the Agl–Glt machinery contains an inner-membrane motor complex that moves intracellularly along a right-handed helical path; when the machinery becomes stationary at FASs, the motor complex powers a left-handed rotation of the cell around its long axis.
Abstract: Various rod-shaped bacteria mysteriously glide on surfaces in the absence of appendages such as flagella or pili. In the deltaproteobacterium Myxococcus xanthus, a putative gliding motility machinery (the Agl-Glt complex) localizes to so-called focal adhesion sites (FASs) that form stationary contact points with the underlying surface. Here we show that the Agl-Glt machinery contains an inner-membrane motor complex that moves intracellularly along a right-handed helical path; when the machinery becomes stationary at FASs, the motor complex powers a left-handed rotation of the cell around its long axis. At FASs, force transmission requires cyclic interactions between the molecular motor and the adhesion proteins of the outer membrane via a periplasmic interaction platform, which presumably involves contractile activity of motor components and possible interactions with peptidoglycan. Our results provide a molecular model of bacterial gliding motility.
117 citations
TL;DR: Unmanned aerial vehicle technologies combined with digital image processing have been applied to the crack inspection of bridge structures to overcome the drawbacks of manual visual inspection.
Abstract: Unmanned aerial vehicle (UAV) technologies combined with digital image processing have been applied to the crack inspection of bridge structures to overcome the drawbacks of manual visual i...
82 citations
TL;DR: An automated system that uses an Ant colony based segmentation algorithm, takes into consideration three types of features to describe malignant lesion, and uses two classifiers K-Nearest Neighbor and Artificial Neural Network to test the efficiency and results are encouraging.
52 citations
01 Jan 2014
TL;DR: The results prove that this system can be reliably employed in visual localization of mobile robots with use of artificial markers deployed to an environment.
Abstract: The paper presents localization method for mobile robots with use of artificial markers deployed to an environment. A specialty of the markers is that the position and rotation of the camera relative to the marker can be determined from only one marker. Fur ther in the paper, some experiments are described. The results prove that this system can be reliably employed in visual localization of mobile robots. © 2014 The Authors. Published by Elsevier Ltd. P eer-review under responsibility of organizing committee of the Modelling of Mechanical and Mechatronic Systems MMaMS 2014.
50 citations
Cites methods from "Practical Image and Video Processin..."
...The visual system can include one or two cameras and should detect some markers in the environment by use of computer vision tools [2,3,4,5]....
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Book•
13 Sep 2018
TL;DR: In this article, Pengantar Pengolahan citra digital modern memperkenalkan konsep dasar pengolahan digital modern, and bertujuan untuk membantu siswa, ilmuwan, and praktisi untu memahami konseP melalui penjelasan, ilustrasi, and contoh ying jelas.
Abstract: Buku ini memperkenalkan konsep dasar pengolahan citra digital modern. Ini bertujuan untuk membantu siswa, ilmuwan, dan praktisi untuk memahami konsep melalui penjelasan, ilustrasi, dan contoh yang jelas. Pembahasan konsep umum dilengkapi dengan contoh-contoh dari aplikasi dan implementasi konsep siap pakai di MATLAB®. Kode program dari beberapa konsep penting dalam bahasa pemrograman 'C' disediakan.
Untuk menjelaskan konsep, fungsi MATLAB® digunakan di seluruh buku. MATLAB® Versi 9.3 (R2017b), Image Acquisition Toolbox Versi 5.3 (R2017b), Image Processing Toolbox, Versi 10.1 (R2017b) telah digunakan untuk membuat materi buku.
Dimaksudkan untuk siswa dan insinyur yang sedang berlatih, buku ini memberikan pengantar yang jelas, komprehensif, dan terkini tentang Pemrosesan Gambar Digital dengan cara yang pragmatis.
Daftar isi
Pengantar Pengolahan Citra Digital. Representasi Gambar Digital. Alat Matematika untuk Pemrosesan Gambar. Peningkatan Citra dalam Domain Spasial. Pemrosesan Gambar dalam Domain Frekuensi. Gambar Denoising. Segmentasi Gambar. Morfologi Matematika. Pemahaman Gambar. Kompresi Gambar. Pengambilan Gambar. Pemalsuan Gambar Digital. Lampiran A. Lampiran B. Lampiran B
48 citations