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In this paper, we present a comprehensive analysis and comparison of state-of-the-art Contrast Enhancement (CE) evaluation metrics. In this work, we developed a new database consisting of 182 images. The subjective experiments were performed to obtain a preference rating from different observers for the enhanced images using six CE methods selected from different representative categories. The quality...
Philipona & O’Regan (2006) [1] recently proposed a linear model of surface reflectance as it is sensed by the human eyes. In their model, the tristimulus response to reflected light is accurately approximated by a linear transformation of the tristimulus response to illumination, allowing the prediction of several perceptual characteristics of human vision. Later, Vazquez-Corral et al (2012) [2]...
This is well known that IoT needs intelligent search engines to manage big data processing. We have been developing such issues with novel algorithms. CAM (Contents Addressable Memory) conducts high speed searching with high power consumption which is not productive. The LUT (Look Up Table) algorithm with certain software is one type of method that is utilized to save power and commonly found in today...
SIMPLE (Searching Images with MPEG-7 (& MPEG-7-like) Powered Localized dEscriptors) is a model that proposes the reuse of well-established global descriptors by localizing their description mechanism on image patches located by local features' detectors. Having displayed impressive retrieval results on two different databases, in this paper we extend the family by replacing the originally picked...
Segmentation of optic disk (OD) is a very important step in automatic Diabetic Retinopathy screening. In this paper, we presented a robust and novel template matching algorithm for automatic detection of OD in retinal images. The size of OD area depends on camera field of view and image resolution. Based on these criteria we formulated and presented OD size estimation algorithm and it is used to create...
In this paper, we address the problem of automatic polyp detection in endoscopy videos. We propose feature fusion and multiple classifier technique using a variety of features that include wavelet features, Local Binary Patterns and Gabor features. We show that such a combination can mitigate, to a reasonable extent, the high rate of false positives common in this particular problem. Moreover, we...
With the development of face recognition technology, it is already being applied in various fields such as security and robotics. However, products associated with face recognition systems are difficult to commercialize because of the absence of evaluation methods that reflect the actual service environment. The best way to evaluate face recognition performance is evaluation by real people or methods...
Developing an automatic arabic sign language recognition system is of great importance, it can be used as a communication means between hearing-impaired and other people.
Blur plays an key part in evaluating of camera image quality. It leads to decrease of high frequency information and accordingly changes the image energy. Recent researches in quaternion singular value decomposition show that the quaternion's singular values and associated vectors can capture the distortion of color images, and thus singular values can be utilized to assess the sharpness of camera...
In this paper, we present an automated music video generation framework that utilizes emotion synchronization between video and music. After a user uploads a video or music, the framework segments the video and music, and then predicts the emotion of each of the segments. The preprocessing result is stored on the server's database. The user can select a set of videos and music from the database, and...
In this paper, we propose a method for automatic signature segmentation using hyper-spectral imaging. The proposed method first uses the connected component analysis and local features to segment the printed text and signatures. Secondly, it uses spectral response of text, signature, and background to extract signature pixels. The proposed method is robust, and remains unaffected by color and intensity...
Face has been adopted as default biometric validation method and the International Standard Organization (ISO) proposed a standard which states constraints for facial image. This paper presents methods for evaluating face image conformance to the following ISO/ICAO requirements: pixelation, hair across eyes, veil over face and mouth opened. Each requirement is individually evaluated. The algorithm...
Biometric characteristics allow identifying an individual based on who they are. This paper focuses on using the face of a subject in electronic identity documents. The International Civil Aviation Organization (ICAO) has endorsed the adoption of the face as the globally interoperable biometric characteristic. Soon afterward, the International Standard Organization (ISO) proposed the ISO/IEC 19794-5...
The face has been used in identity documents and represents the ideal biometric characteristic in many applications. The International Civil Aviation Organization endorsed the use of face as the globally interoperable biometric characteristic. Successively, the International Standard Organization proposed the ISO/IEC 19794-5 standard for face usage in travel documents. The purpose of this work is...
In this letter, we estimate perceived image quality using sparse representations obtained from generic image databases through an unsupervised learning approach. A color space transformation, a mean subtraction, and a whitening operation are used to enhance descriptiveness of images by reducing spatial redundancy; a linear decoder is used to obtain sparse representations; and a thresholding stage...
Biometric is used to automate the measurement of biological data. The measurement and recording of the physical characteristics of an individual for the use in subsequent personal identification. Multimodal biometric authentication is system which uses two or more biometric trait. It provides more immunity against spoofing. To reduce feature vector size and to improve genuine acceptance rate proposed...
In this paper we present a framework for analyzing skin parameters from portrait images and videos. Using a series of Hierarchical Differential Image Filters (HDIF), it becomes possible to detect different skin features such as wrinkles, spots, and roughness. These detected features are used to compute skin ratings that are compared to actual ratings by dermatologists. Analyzing a database of 49 images...
In this paper, we analyze the effect of boosting in image quality assessment through multi-method fusion. On the contrary of existing studies that propose a single quality estimator, we investigate the generalizability of multi-method fusion as a framework. In addition to support vector machines that are commonly used in the multi-method fusion studies, we propose using neural networks in the boosting...
The main purpose of transfer learning is to resolve the problem of different data distribution, generally, when the training samples of source domain are different from the training samples of the target domain. Prediction of salient areas in natural video suffers from the lack of large video benchmarks with human gaze fixations. Different databases only provide dozens up to one or two hundred of...
We propose a geometrical method, applied over eye-specific features, to improve the accuracy of the art of eye-center localization. Our solution is built upon: (a) checking radially constrained gradient vectors, (b) adding weightage to iris specific features and (c) considering bi-directional image gradients to eliminate errors due to reflection on pupil. Our system outperforms the state of the art...
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