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Face recognition is one of the most natural biometrics identification approaches. But the accuracy of face recognition is significantly influenced by poses, facial expressions, and lighting conditions. This paper presents a novel robust facial recognition system by incorporating color information into a modified active shape model (ASM). The selected robust geometric and chromatic information of facial...
Characteristics of retinal tissue shown in retinal images are very important bases for ophthalmologists in clinical diagnosis. Among them, retinal vessel is the most important character. However, the quality of retinal image is usually poor due to the non-perfect imaging environment, making ophthalmologists difficult to read. This paper introduces a retinal vessel enhancement algorithm using multiple...
Automated detection of blood vessel structures is becoming a crucial interest for better management of vascular disease. In this paper, we propose an algorithm for vessel segmentation in digital retinal images based on integral channel features and random forests. In the first stage, preprocessing is performed to obtain the candidate pixels of vessels, then a host of simple features are extracted...
Face detection and eyes extraction has an important role in many applications such as face recognition, facial expression analysis, security login etc. Detection of human face and facial structures like eyes, nose are the complex procedure for the computer. This paper proposes an algorithm for face detection and eyes extraction from frontal face images using Sobel edge detection and morphological...
In this article we present an approach in predicting a user's behavior using big data, correlations, Ramsey theory and generalized suffix trees. Recommendation systems are widely used, especially in e-commerce. The purpose of the recommendation system is to predict what items a user would prefer. This predictions are based on some information like the group in which the user could fit or the past...
This papers presents the use of color imaging as a starting point of burn wound evaluation, by the discrimination between healthy skin and burn wound. The skin/burn area identification is performed pixel-wise, according to the properties of an entire encompassing patch. The classification is learned under a supervised scenario, according to a ground truth defined by specialist surgeons from a large...
In this paper we compare the performances of three automatic methods of identifying hemangioma regions in images: 1) unsupervised segmentation using the Otsu method, 2) Fuzzy C-means clustering (FCM) and 3) an improved region growing algorithm based on FCM (RG-FCM). For each image, the starting point of the algorithms is a rectangular region of interest (ROI) containing the hemangioma. For computing...
The most well known and widely used method for comparing two homogeneous color samples is the CIEDE2000 color difference formula because of its strong agreement with human perception. However, the formula is unreliable when applied over images and its spatial extensions have shown little improvement compared with the original formula. Hence, researchers have proposed many methods intending to measure...
A clean background image is of great importance in multiple applications such as video surveillance, object tracking and context-based video encoding, but acquiring a clean background image in public areas is seldom possible. Many algorithms have been developed to initialize the background from videos and images. This paper presents a database consisting of 13 different scenes that can be used for...
Most of existing visual quality assessment algorithms are tested on standard databases that are created in controlled viewing conditions (e.g. display device, viewing distance and lighting). This implies that all the recoded subjective scores are only valid for the specific settings used in the database. However, with the prevalence of mobile devices, the practical viewing environments can significantly...
Saliency detection has a great significance in improving image analysis and processing techniques. In this paper, we propose a center-focus global contrast saliency detection method. First, we achieve the weight of focus-center feature map from frequency domain and get the salient center by weighted coordinates; Secondly we calculate the Euclidean distance between the image of each pixel and the saliency...
The advent of inexpensive RGB-D sensors pioneered by the original Kinect sensor, has paved the way for a lot of innovations in computer and robot vision applications. In this article, we propose a system which uses the new Kinect 2 sensor in a medical application for the purpose of detection and 3D reconstruction of chronic wounds. Wound detection is based on a per block classification of wound tissue...
Paddy being the staple food of India is majorly affected by deficiency of primary nutrient elements like nitrogen, phosphorus and potassium. Leaves can be deficient with multiple nutrient elements at a same time. This can alter natural color of paddy leaves. Such leaves are considered as defective. The proposed work is to automate multiple nutrient element deficiency identification of paddy leaves...
One of the challenges faced in video retrieval is accurately detecting and extracting the objects in motion. The properties of the moving objects from the query clip are obtained, represented quantitatively, and compared to the corresponding features of the moving objects in the videos stored in the database. If a large number of features match, it generally indicates that the objects are similar...
Video copy detection is a complementary approach to watermarking. As opposed to watermarking, which relies on inserting a distinct pattern into the video stream, video copy detection techniques match content-based signatures to detect copies of video. Existing typical content-based copy detection schemes have relied on image matching. In this we try to implement a technique to detect copying of videos...
This article describes the vertical traffic signs recognition (VTSR) system. In this system the Cambridge optical correlator is used as an image comparator in the recognition stage. In our case, the Cambridge optical correlator compares detected traffic signs with reference traffic signs. One step of the VTSR system is the traffic signs detection process. Traffic signs detection is used to locate...
This paper proposed a new image tampering detection method based on local texture descriptor and extreme learning machine (ELM). The image tampering includes both splicing and copy-move forgery. First, the image was decomposed into three color channels (one luminance and two Chroma), and each channel was divided into non-overlapping blocks. Local textures in the form of local binary pattern (LBP)...
Plants are very important for human being as well as for other living species on the earth. The food that people eat daily, comes directly or indirectly from plants. In medical field, doctors use X-ray image to correctly identify disease. Here we used the same principle. Geometrical features and digital morphological features are extracted from 2-dimensional image of leaf. The aim of this study is...
Image tampering detection is important due to many incidences of tampered images misuse. In this paper, we propose a hybrid approach for image tampering detection using range filter and texture descriptor. First we highlights important details of the image using range filtering. The range filter highlights the edges, contours and important details of the objects in an image. Further we apply texture...
An improved method for visibility enhancement of foggy based degraded images is presented. Proposed technique consists of two phases: firstly applied the visibility enhancement algorithm and then automatic color enhancement algorithm. Quantitative metric and qualitative result of proposed technique is evaluated and compared with other existing visibility restoration algorithms. In this paper quantitative...
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