The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Skin segmentation, which involves detecting human skin areas in an image, is an important process for skin disease analysis. The aim of this paper is to identify the skin regions in a newly collected set of psoriasis images. For this purpose, we present a committee of machine learning (ML) classifiers. A psoriasis training set is first collected by using pixel values in five different color spaces...
Hand gesture recognition is highly valued for its potential applications in contactless human-computer interaction (HCI). Aiming at the problem that the gesture recognition system based on ordinary camera is susceptible to different lighting conditions and complex background environment, an improved algorithm based on depth image for fingertip detection and gesture recognition is proposed. Firstly,...
Leukemia is a worldwide disease. In this paper we demonstrate that it is possible to build an automated, efficient and rapid leukemia diagnosis system. We demonstrate that it is possible to improve the precision of current techniques from the literature using the description power of well-known Convolutional Neural Networks (CNNs). We extract features from a blood smear image using pre-trained CNNs...
The frequent occurrence of road congestion and traffic accidents has affected people's travel efficiency and travel safety. Traffic sign recognition has become one of the key research objects in intelligent transportation system. This paper studies the identification of road traffic signs based on video images. First of all, collected image will be image preprocessing with image reduction, brightness...
Digital image processing techniques are commonly employed for food classification in an industrial environment. In this paper, we propose the use of supervised learning methods, namely multi-class support vector machines and artificial neural networks to perform classification of different type of almonds. In the process of defining the feature vectors, the proposed method has relied on the principal...
Melanoma skin cancer is on the rise globally due to increased ultraviolet radiation and even in darker skinned communities, new cases are being discovered. Like many cancers if detected early the chances of successful treatment and cure are high but if detected at a later stage the chances become low. In the application of Computer Aided Diagnosis systems for detection of melanoma, image pre-processing,...
The classification and identification of the bird species from the visual image is complex compared by using audio song. The knowledge of the features species type is very important as to ensure it is classified to the correct species. Color-based feature extraction is one of the procedure in extracting the color properties from the bird which to represent the species of the bird. However, it is a...
An approach for object detection in depth images based on local and global convexity is presented. The approach consists of three steps: image segmentation into planar patches, greedy planar patch aggregation based on local convexity and segment grouping based on global convexity. The proposed approach improves upon existing similar methods, which use convexity as a cue for object detection, by detecting...
Cancer of blood-forming tissues is called Leukemia. This disease hinders the body's ability to fight infection. Leukemia can be categorized into many types. Acute Lymphoblastic Leukemia (ALL) and Acute Myeloid Leukemia (AML) are the two main types. The blood cells' growth and bone marrow are affected by AML. Collection of myeloid blasts in the bone marrow is one of the main characteristics of AML...
The overall aim of the proposed skin lesions classification method is to improve the quality and accuracy of existing skin diagnostic system by establishing superior feature extraction and classification of skin lesions from standard digital images. At first, images of skin lesions are pre-processed by resizing, removing hair, removing noise by filtering and enhancing contrast. Rather than using RGB/HSV/YCbCr...
Scene analysis is an integral part of autonomous vehicle. Information such as traffic sign boards information, Toll information, Vehicle Number Plate information etc., from the scene is helpful in analyzing the current location. Vision based techniques are critical for a given scene analysis and happens to be an important area of research, today. This paper present localizing and recognizing text...
In this article we analyze the prediction of image interestingness, a domain that is gaining importance in the fields such as recommendation systems, social media and advertising. We investigate the contribution of early and late fusion techniques, while using a set of image descriptors and analyze the best combinations that predict interestingness. Experimental validation is carried out on the MediaEval...
Patten recognition techniques are widely used for image processing in medical imaging. It provides assistance to physicians and scientists in large scale diagnosis. In this paper, we have proposed an automated system for detecting melanoma from dermoscopic images. We detected melanoma by extracting information from region of interest (ROI) rather than the whole image composed of lesion and background...
Histological images analysis is widely used to carry out diagnoses of different types of cancer. Digital image processing methods can be used for this purpose, leading to more objective diagnoses. Segmentation techniques are applied to identify cellular structures indicative of diseases. In addition, the extracted features from these specific regions can aid pathologists in diagnoses decision using...
In this paper we present experiments made on an extension of a well-known simple global color criterion and we present the results obtained in iris recognition on two known iris databases, UBIRIS and UPOL. All tests were done for three different color spaces, RGB, HSV and LAB, and two discriminative classifiers, k-NN (k - Nearest Neighborhood) and SVM (Support Vector Machine) were used in our experiments...
Traffic Light Detection(TLD) and understanding their state semantics at intersections plays a pivotal role in driver assistance systems and, by extension, autonomous vehicles. Despite of several reliable traffic light state detection approaches in literature, traffic light state recognition still remains an open problem due to outdoor perception challenge which includes occlusions, illumination and...
Road sign recognition (RSR) systems are one of the main tasks of intelligent transportation systems (ITS). These systems employ vehicle mounted cameras to identify traffic signs while driving on the road. Their primary function is to inform the driver of recent traffic signs that may have been missed due to distraction or inattentiveness. In this work, a new method for road sign detection and recognition...
Wireless capsule endoscopy is an important advanced diagnostics method. It produces huge amount of images during travel through patient's digestive tract and that usually requires automated analysis. One of the most important abnormalities is bleeding and automated segmentation for bleeding detection is an active research topic. In this paper we propose an algorithm for automated segmentation for...
Traffic Sign Recognition (TSR) that can automatically notify and warn a vehicle driver is an essential element in the Advanced Driver Assistance System. In this study, we design and implement a real time traffic sign recognition system implemented on Advantech ARK-2121, a small computer mounted on car. The entire process is divided into two parts, the detection step and the classification step. In...
Text recognition has revolutionized the world of image processing and intelligent transportation system (ITS). It opened several possibilities to traditional ITS concept. Advancement in text recognition has made it possible to implement text recognition in ITS. Traffic panel text recognition, a real time application is considered as a key addition to the revolution in modern ITS. This research aims...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.