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The asymmetry of skin lesion is one of the three-point checklist (3PCLD). The 3CPLD is depending of a shape, hue/color and structure of the lesion. In the paper, a dermatological asymmetry measure in hue (DASMHue) is presented and discussed. The hue distribution asymmetry of the segmented skin lesion is discussed and new dermatological asymmetry measures of hue distribution are defined. One of the...
The paper presents deriving of shape asymmetry measure in the dermatological sense (DASMShape). The skin lesion symmetry consists of three factors: shape, hue/color and structure. We analyze the shape asymmetry and on its basis we propose a new asymmetry degree realized in several ways. DASMShape methods verification and comparison is performed using PH2 database. The results received after optimization...
Computer Aided Diagnostic (CAD) tools for differentiating benign and malignant lesions are primarily of great importance. Most of the CAD tools employ a large and complex feature set. In this paper, a CAD system for classifying benign and malignant lesions using optimal feature set is proposed. The optimal feature set included the prominent color, shape and texture features. The feature set used is...
While hand geometry trait has been widely used to perform biometric recognition, majority of the methods employ images acquired against a uniform background. If segmentation of the hand is implemented, existing techniques can be used in cluttered backgrounds as well. This paper presents an approach for accurate segmentation of human hands for images following the aforementioned conditions using skin...
Face detection is one of the most researched topics in computer vision. During the past decades, several fast and accurate methods have been developed by using different computer vision and statistical tools. In fact, accuracy and applicability are two main factors which researchers try to improve. In this paper a method for face region detection using color segmentation and randomized Hough transform...
Melanoma is the most dangerous form of skin cancer. It can be developed from pigmented cells of the skin and can grow and spread swiftly to other organs (metastasis). An early diagnosis increases the chance of cure. In the past three decades, the increase in the incidence of melanoma has given rise to more accurate methods of analysis. Feature extraction is a critical step in melanoma decision support...
In recent years, hand gesture recognition framework as an effective sign language tool has been extensively explored by many researchers. This paper presents an idea of developing a framework using computer vision for hand gesture based sign language recognition from real-time video stream. The proposed system identifies hand-palm in video stream based on skin color and background subtraction scheme...
Many skin detection approaches have been proposed in the image analysis literature. Some are simple and static; the others are dynamic and rely on complex machine learning algorithms and training data. Generally the simple approaches are preferred. We hypothesize that the developers' choice for the simple approaches are due to the reasonable quality of results and ease of implementation, since the...
Skin prick test is a common diagnosis method for allergic diseases. The test causes a controlled allergic response and provokes a wheal on the skin, whose size and shape change depending on the sensitivity of a patient against a specific allergen. The physical size of the wheal can be estimated from images acquired by digital cameras, which requires segmentation of the wheal from the captured SPT...
Automatically recognizing pornographic images from the Web is a vital step to purify Internet environment. Inspired by the rapid developments of deep learning models, we present a deep architecture of convolutional neural network (CNN) for high accuracy pornographic image recognition. The proposed architecture is built upon existing CNNs which accepts input images of different sizes and incorporates...
Asymmetry is one of key characteristics for early diagnosis of melanoma according to medical algorithms such as (ABCD, CASH etc.). Besides shape information, cues such as irregular distribution of colors and structures within the lesion area are assessed by dermatologists to determine lesion asymmetry. Motivated by the clinical practices, we have used Kullback-Leibler divergence of color histogram...
Automatic and reliable diagnosis of skin cancer, as a smartphone application, is of great interest. Among different types of skin cancers, melanoma is the most dangerous one which causes most deaths. Meanwhile, melanoma is curable if it were diagnosed in its early stages. In this paper we propose an efficient system for prescreening of pigmented skin lesions for malignancy using general-purpose digital...
The widespread use of video recording devices to obtain recordings of people in various scenarios makes the problem of privacy protection increasingly important. Consequently, there is an increased interest in developing methods for de-identification, i.e. removing personally identifying features from publicly available or stored data. Most of related work focuses on de-identifying hard biometric...
The aim of this paper is to present a hand gesture recognition approach in static hand posture images. The major steps of the work includes (a) segmentation of hand region from rest of the image, (b) formation of saliency image (c) feature extraction using Gabor filter and Pyramid histogram of oriented gradients (PHOG). The YCbCr color model is used to detect the skin region of the hand, whereas the...
Face detection and tracking have wide applications, for example, law enforcement, gaming, image search, marketing, etc. The detection and tracking tasks are quite challenging. Tracking the face in an image includes gender identification and segmenting the face using the skin color. In the past, many methods have been proposed to identify a face in videos, such as feature-based detection, skin color...
Human segmentation is an important task in digital cameras. In this study, we present a framework of non-parametric human segmentation based on SVM. By exploiting spatial and color features of training images, the framework achieves noticeably better human segmentation results than GrabCut in terms of the overlap ratio with ground-truth.
Among the skin cancers, malignant melanoma is of by far the most deadly type. For the early diagnosis of melanoma, computer-aided diagnosis systems for the classification of dermoscopic images have been developed. For accurate image classification, the segmentation of skin lesion area is of prime importance. In this work, mathematical morphology has been used for segmentation for proper identification...
Nowadays the effective and fast detection of fruit defects is one of the main concerns for fruit selling companies. This paper presents a new approach that classifies fruit surface defects in color and texture using Radial Basis Probabilistic Neural Networks (RBPNN). The texture and gray features of defect area are extracted by computing a gray level co-occurrence matrix and then defect areas are...
Today shopping markets pay attention towards customer needs and services. Unfortunately the blind and vision impaired person are still incapable to access these environments without reliance. Assistive technology is trying to sway the living style of the blind by introducing support systems for routinely actions like reading, writing, walking, Web surfing, and shopping. However, still the blind have...
In this paper, we introduce a two-stage Hand Posture Recognition system using a Kinect sensor. In the first stage, we propose an effective algorithm to segment hand region from complex background, which incorporates both color, depth and skeleton information, without specific requirements on uniform-colored or stable background. It is robust with skin-color noise like arms and face, and can handle...
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