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The field of biometrics is tremendously gaining acceptance nowadays. Gender is a significant demographic attribute that can classify individuals. There are various biometric traits that have been used to classify gender. But the accuracy provided by a single trait is always less. Hence in this paper, fusion of two biometric traits viz., iris and fingerprint, is done to classify gender. Mean and standard...
Shadows are formed when light from the source is obstructed by an object. Shadows hide the information of the underlying objects which will lead to wrong interpretations during image processing. Hence shadow detection has become a vital pre-processing step in digital image processing as most of the images acquired are contaminated with shadows. The shadows are found more in urban images where the...
The path planning is a very important part of AGV control. Firstly, The OpenCV is called to fitting the contour of obstacles with polygon and to optimize the result. Then a model of AGV work space is built by the method of network topology. So the problem of AGV path planning can be transformed into the problem of searching for the shortest path of the network topology. In the process of searching,...
This paper proposes a novel maximum power point tracking (MPPT) technique for a photovoltaic (PV) system. A boost converter is designed to extract the maximum power from the PV panel with intended rippled currents. The control strategy is realized by a micro-controller with a phase-detection circuit. By detecting the phase difference between the PV current and voltage, the maximum power point (MPP)...
This paper propose a fast human detection algorithm of video surveillance in emergencies. Firstly through the background subtraction based on the single Guassian model and frame subtraction, we get the target mask which is optimized by Gaussian filter and dilation. Then the interest points of head is obtained from figures with target mask and edge detection. Finally according to detecting these pionts...
The goal of image retargeting is to change the resolution and aspect ratio of an image to fit it into different display devices. We achieve it by representing an image as a triangular mesh in 2D space and viewing each triangle edge as a spring. Through deforming the spring system, we can implicitly retarget the image to its new size. To build the spring system, we firstly run a saliency detection...
This paper presents a novel method to find corners that are well located and stable interest points in a given image. Our corners are defined as intersection points of non collinear straight image edges, which are very robust against various image transformations like image scaling, rotation, translation and also to viewpoint and illumination changes. Some light updates on the linking edge step that...
Face recognition in still images and video is an important application in computer vision and image processing. This work focuses on extracting 3D or depth information using stereo matching for the purpose of enhancing face recognition. We present a new fast stereo matching algorithm termed stereo cluster search (SCS) that can be performed in real time to generate depth information from the left and...
With the explosive growth of web-based cameras and mobile devices, billions of photographs are uploaded to the internet. We can trivially collect a huge number of photo streams for various goals, such as 3D scene reconstruction and other big data applications. However, this is not an easy task due to the fact the retrieved photos are neither aligned nor calibrated. Furthermore, with the occlusion...
In this study a new approach that is used for plotting raster based image files, is proposed. Proposed method is tested on the prototype plotter which is designed as a Cartesian-robot architecture. Work list is produced by the proposed edge tracking algorithm on the canny edge detector based images. Outputs are generated from the work list as a converted atomic move commands which can be interpreted...
In this paper, a new approach for image edge detection using wavelet based ant colony optimization (ACO) is proposed. The proposed approach applies discrete wavelet transform (DWT) on the image. ACO is applied to the generated four subbands (Approximation, horizontal, vertical, and diagonal) separately for edge detection. After obtaining edges from the 4 subbands, inverse DWT is applied to fuse the...
In this study, a method which sets the limits of geologic structures are used as a steerable filter. Generally used for edge detection in 2-D images steerable filters, band pass filters with some aspects and features are applied in many image processing tasks. We first steerable filters have tested on synthetic data. Then steerable filters gravity anomaly map of the Marmara region have applied to...
As video traffic over Internet and service provider networks peaks today, the need for image quality measurement is obvious. Such measurements need to be done real-time, and that requires “No-Reference” measurements, i.e., measurements that do not use the uncompressed (raw) images. Now, great majority of video streams are digital. Digital video streams employ compressed streams, and they are DCT-based...
Edge detection has important applications in image processing area. In addition to well-known deterministic approaches, stochastic models have been developed and validated on edge detection. In this study, a stochastic auto-regressive process method has been presented and this method applied to gray scale and color scale images. Results have been compared to other well-recognized edge detectors, then...
The purpose of this study is to segment the humeral head from two dimentional proton dansity(PD) magnetic resonance images (MRI) of shoulder. MRI studies of patients presenting with shoulder pain may demonstrate bone marrow edema and different degrees of contour changes. Computerised tomography(CT) and T1 weighted MR images demonstrate bone margins better. T2 or PD weighted images are poor in determining...
In this study, a model based approach is proposed for the recognition of the pantograph type used in electric trains. The shape of the pantograph-catenary changes according to usage conditions of electric trains. A geometric model of the pantograph is constructed by using images taken from the pantograph-catenary system. The pantograph type is determined by using the constructed model. First, all...
Edge detection is most popular problem in image analysis. To develop an edge detection method that has efficient computation time, sensing to noise as minimum level and extracting meaningful edges from the image, so that many crowded edge detection algorithms have emerged in this area. The different derivative operators and possible different scales are needed in order to properly determine all meaningful...
The use of edge information for noise removal from digital images is of vital importance for preserving image details after filtering process. In this work, the edges in the speckled image are detected by employing a type-2 fuzzy edge detector and then the mean filter is used for removing speckle noise. Although the mean filter is effective for speckle noise removal, it also introduces undesirable...
Images captured using standard flat digital detectors for microfocus X-ray systems have some disadvantages (uneven brightness distribution, irregular image resolution and geometrical distortions of the studying object). Using a non-planar detector (in the form of sphere surface part) will improve result image characteristics.
The widely extended WLAN infrastructure has often been used as geographic landmark to support localization applications and human mobility studies. In these applications a WiFi network made of static nodes seems to be always assumed. Here, evidence is presented to show that this is hardly ever the case. Several independently collected datasets were analyzed to show that dynamic, moving Access Points...
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