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Improved license plate detection using HOG-based features and genetic algorithm

MUHAMMAD, Jawad | ALTUN, Halis

In this paper, a new improved plate detection method which uses genetic algorithm (GA) is proposed. GA randomly scans an input image using a fixed detection window repeatedly, until a region with the highest evaluation score is obtained. The performance of the genetic algorithm is evaluated based on the area coverage of pixels in an input image. It was found that the GA can cover up to 90% of the input image in just less than an average of 50 iterations using 30×130 detection window size, with 20 population members per iteration. Furthermore, the algorithm was tested on a database that contain ...Daha fazlası

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A New Method For Extraction Of Image's Features: Complex Discrete Ripplet-II Transform

YAŞAR, Hüseyin | CEYLAN, Murat

Wavelet transform extracts the features of a signal and image via shifting and weighting methods. This transform has either advantages or disadvantages on image processing applications. One of important disadvantage of wavelet transform is limited orientation problem. This problem has been solved by different orientation with ridgelet transform. Ripplet-II transform is defined by recently generalising of the ridgelet transform by adding parameter degree (d). Complex discrete form of ripplet-II transform defined by this study and added to the literature. Also, complex discrete Ripplet-II transf ...Daha fazlası

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Self-Adaptive Hybrid PSO-GA Method for Change Detection Under Varying Contrast Conditions in Satellite Images

KUSETOĞULLARI, Hüseyin | YAVARIABDI, Amir

This paper proposes a new unsupervised satellite change detection method, which is robust to illumination changes. To achieve this, firstly, a preprocessing strategy is used to remove illumination artifacts and results in less false detection than traditional threshold-based algorithms. Then, we use the corrected input data to define a new fitness function based on the difference image. The purpose of using Self-Adaptive Hybrid Particle Swarm Optimization-Genetic Algorithm (SAPSOGA) is to combine two meta-heuristic optimization algorithms to search and find the feasible solution in the NP-hard ...Daha fazlası

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Microwave coaxial antenna for cancer treatment: Reducing the backward heating using a double choke

AÇIKGÖZ, Hulusi | MITTRA, Raj

In this paper, we focus on the so-called backward heating problem, which appears when coaxial-type antennas are used to treat certain types of cancers. The aim of this study is to reduce the surface currents propagating along the outer conductor of the antenna that lead to a higher Specific Absorption Rate (SAR) and overheat the healthy tissues. Our study shows that the use of a double-choke can lead to a lower SAR compared to the case of a single one. We also demonstrate that the use of a periodic structure does not help to further improve the SAR-level along the antenna. © 2015 The Institute ...Daha fazlası

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New Approaches Based on Real and Complex Forms of Ripplet-I Transform for Image Analysis

YAŞAR, Hüseyin | CEYLAN, Murat

The multi resolution analysis are important parts of image processing. Curvelet transform is analysis method which have been using wide variety of applications in multi resolution analysis. Ripplet-I transform is defined by recently generalising of the curvelet transform by adding parameters support (c) and degree (d). Even though this transform has been found out recently, it has been using wide variety of applications. Fast discrete and complex fast discrete versions of ripplet-I transform were examined by this study. In denoising application, better results were obtained with fast discrete ...Daha fazlası

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Electromagnetic Acoustic Transducer for cracks detection in conductive material

BOUGHEDDA, Houssem | HACIB, Tarik | CHELABI, Mohamed | AÇIKGÖZ, Hulusi | LE BIHAN, Yan

This paper is concerned with the characterization methodologies of defects in conducting materials by an Electromagnetic Acoustic Transducer (EMAT) testing system. It has been developed to create a virtual environment for Non-Destructive Testing (NDT) before implementing it in real, to study the change effect on the defect geometry at the signal received. EMAT is a new technology, which provides a noncontact process of testing materials compared to ultrasonic testing technique. This work is based on the simulation of two-dimensional numerical model, using Finite Element Method, (FEM) like a si ...Daha fazlası

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A Novel Method and Mobile System for Accurate Heart Rate Measurement from Finger and Face

GÖNÜLTAŞ, Emre | DEMİRBAŞÇI, Oğuz | MENDİ, Engin

Heart rate is an important vital indicator which provides information about the rhythm of the heart and helps in diagnosing several heart diseases. As it can be usually determined manually, there are also some medical devices that automatically measure heart rate. Measuring heart rate quickly and consistently may play important role in the early detection of heart attack and various heart rate related disorders. In this work, a mobile based system that performs quick and practical heart rate measurement. Processing RGB color changes in the image frames recorded from finger or face, which canno ...Daha fazlası

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Identifying trolls and determining terror awareness level in social networks using a scalable framework

MUTLU, Büşra | MUTLU, Merve | ÖZTOPRAK, Kasım | DOĞDU, Erdoğan

Trolls in social media are 'malicious' users trying to propagate an opinion or distort the general perceptions. Identifying trolls in social media is a task of interest for many big data applications since data cannot be analyzed effectively without eliminating such users from the crowd. In this paper, we present a solution for troll detection and also the results of measuring terror awareness among social media users. We used Twitter platform only, and applied several machine learning techniques and big data methodologies. For machine learning we used k-Nearest Neighbour (kNN), Naive Bayes, a ...Daha fazlası

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A Systematic Circular Weight Initialisation of Kohonen Neural Network for Travelling Salesman Problem

MUHAMMED, Jawad | ALTUN, Halis

Self-organising neural networks have since been employed by researchers in solving the travelling salesman problem. However, with these networks, the final tour length as well as the convergence time, largely depends on the initial weights of the networks. In this paper, systematic initialisation of Kohonen neural network weight in a circle is presented, that involves randomly initialising the weights to be along a circular path, with centroid equals the centroid of all the cities. Our major contribution is on having the circle exhibit different radius on each test run, in order to effectively ...Daha fazlası

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Statistical analysis of 3D-printed flat GRIN lenses

AÇIKGÖZ, Hulusi | ARYA, Ravi Kumar | MITTRA, Raj

This paper presents the statistical analysis of a 3D printed flat lens by using the Polynomial Chaos Expansion (PCE) analysis technique. The flat lens is fabricated using the 3D printing technology and is based on the grading-index (GRIN) approach. It is composed of several concentric rings with graded relative permittivity, made of a single material with different air holes-host material volume ratio. We show that the hole size can have significant effect on the performance of the lens, especially on the focal distance. PCE analysis enables us also to determine the impact of each individual r ...Daha fazlası

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