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Pre-processing steps are critical in automated image analysis systems developed to aid in diagnosis of skin lesion images. The main areas of concern include, but are not limited to, hair on the skin, variations in illumination and skin tone, and alignment of successive skin images. These artifacts can partially or completely obstruct a lesion being analyzed causing errors in classification or diagnosis...
In this paper, a new algorithm for image representation is presented. As we all known, the general curves and surfaces are constructed by the basis functions. Based on the rational spline curve, we developed a new surface which is named as rational W-spline surface. According to the important properties of the basis function, we get the important properties of tensor product rational surface. And...
Face detection and tracking is one of the emerging research areas in the image analysis and computer vision systems. This face detection and tracking helps local security forces to investigate crime incidents. This paper describes a face tracking framework that is capable of tracking a face in real time rapidly frame by frame. Camshift algorithm and KLT algorithm implemented and a comparison study...
Acne can lead to severe physical and psychological implications on chronic sufferers if not treated promptly and properly. Ramli et al. proposed a k-means cluster based algorithm to provide computer-assisted support for the manual grading of digital images. We propose an improved, automated, and more objective, grading method which involves optimizing the k-means clustering algorithm by identifying...
The heart rate (HR) is one of the important indicators for observing the patient condition. Therefore, many estimation techniques for acquiring heart rate have been developed. The photoplethysmography (PPG) and electrocardiography (ECG) are the common measurement techniques for estimating the heart rate. However, they should contact on the human skin in order to estimate the accurate heart rate. In...
The Hybrid fingerprint is a local-quality-specific blend of the surface and internal fingerprints, extracted from optical coherence tomography scans. Owing to its origin, and the manner in which it is obtained, the Hybrid fingerprint is a high-quality and secure fingerprint acquisition solution. This research entails a detailed description of the Hybrid fingerprint, the techniques involved to produce...
Dangerous driving behavior is the major factor to cause most of driving accidents. We present a novel method for dangerous driving behavior analysis. When the dangerous driving is detected, the system will issue an alert message to remind driver to pay more attention. The proposed system can detect three kinds of dangerous behavior: dozing, eating, and phoning. Furthermore, since we propose a novel...
Adaboost is a kind of traversal image searching method, which wastes testing time seriously and should be improved. Skin color detection is used to optimize front-end detection that is relatively stable and has fast speed. In skin color detection, UCS space is used to segment image quickly. Then Adaboost algorithm is used to detect human face based on segmented skin color area. The experiment results...
A number of well-known algorithms for skin segmentation in unconstrained acquisition conditions are tested across many of the best known color spaces and some less well known ones. Although in theory each color space provides the exact same information, our results show that certain color spaces are more optimal where fast segmentation with limited resources is required. A comparative analysis and...
For any real-time application, detection and tracking of features becomes very important. The detection and tracking algorithms have to be very robust and efficient with least or zero false positives and false negatives. We use a novel combination for detection and tracking purpose. In this paper we propose a robust mouth region extraction and tracking algorithm that works in real-time. The region...
Eye Blink Detection is gazing or the gesture specific analysis utilized in different application area. In this paper, the eye blink frequency as well as pupil movement analysis is observed to identify the chances of fatigue, sleep or drunken person. Driving in such critical situation is a crime. The work is here provided to automate the identification of driving capability of a person by observing...
Background: A convenient way to analyze quantitatively 11C-PK11195 cerebral PET scans is the simplified reference tissue model (SRTM), which fits Time Activity Curves (TACs) to those of a reference non-pathological region. In this work, we present a fully automatic method which makes use of the expected tracer concentration in 4 predefined tissue classes (gray matter, white matter, blood, high specific...
A way of combining SVM(Support Vector Machine) with Supervised Subset Density Clustering is proposed in this paper. How to minimize the training set of SVM by means of clustering is researched. Original center positions are of great importance to clustering accuracy. However the traditional clustering center choosing algorithm doesn't work properly when the same kind of samples aren't closely-spaced...
This paper presents the algorithm for validation of electrodes locations for the thoracic impedance measurements. In particular the presented algorithm was designed to perform the telemetric sleep apnea monitoring. One of the problems, during the clinical tests of a developed device, was to preserve the repeatability of measurements. It strongly depended on the appropriate electrodes placement on...
Image processing techniques have been long proposed for automatic analysis of skin lesions in the field of early detection of melanoma. Nevertheless, Computer Aided Systems are not yet able to outperform the diagnostic accuracy of expert dermatologists. They could instead reveal very useful in providing with a second opinion and improving the detection results from physicians with short clinical experience...
The fatigue level of the driver changes due to many factors such as monotonous job of continuous attentive driving, road traffic, un-healthy road conditions, insufficient sleep, stress level, changing work habits and adverse environmental conditions. This paper provides an alternative approach for design of fatigue classifier for vehicular drivers using Skin Conductance (SC) signal to save the loss...
The desire to deliver breakthrough performance in a tablet form factor required several innovations in the 14nm Intel® flagship Core− M processor (Broadwell). Better frequency control algorithms including duty cycling graphics cores were developed to improve energy efficiency. New power sharing algorithms were developed to maximize performance of multiple compute domains within tight thermal and power...
Face detection algorithms have various applications like recognition, expression analysis or video conferencing. Nonetheless, most existing algorithms require additional a-priori knowledge or time-consuming preprocessing steps. In this paper, a model-free feature based approach for face detection and tracking is presented. Possible skin clusters are defined based on one of three different color spaces...
Skin cancer is the most frequent and malignant type of cancer. Melanoma is the most aggressive type among skin cancers and if they are detected at an early stage, they can be completely cured. In melanoma diagnosis, the detection of the melanocytes in the epidermis area is an important step. For the detection of melanocytes, use of histopathological images can be used. With the recent advent of whole...
Several researchers have investigated phantom tactile sensation (i.e., the perception of a nonexistent actuator between two real actuators) and apparent tactile motion (i.e., the perception of a moving actuator due to time delays between onsets of multiple actuations). Prior work has focused primarily on determining appropriate Durations of Stimulation (DOS) and Stimulus Onset Asynchronies (SOA) for...
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