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Traditional quality estimators evaluate an image's resemblance to a reference image. However, quality estimators are not well suited to the similar but somewhat different task of utility estimation, where an image is judged instead by how useful it would be in comparison to a reference in the context of accomplishing some task. Multi-Scale Difference of Gaussian Utility (MS-DGU), a reduced-reference...
Exemplar-based methods have shown their potential in synthesizing novel but visually plausible contents for image super-resolution (SR), by using the implicit knowledge conveyed by the exemplar database. In practice, however, it is common that unwanted artifacts and low quality results are produced due to the using of inappropriate exemplars. How are the “right” exemplars defined and identified? This...
A method for face parametrical statistical features extraction from intensity fragments and segments is considered. Pixel coordinates means are calculated. An algorithm for face classification is proposed. Illustration of features and classification process for given features are presented.
Story-related subject captions (SSCs) are the texts which are added to news videos to summarize the story. Compared to all types of caption texts (channel logo, scene locations, scrolling marquee, time, speaker names, audio subtitles, dates etc.), only SSCs describe the news stories and this is useful in news video analysis and retrieval systems. Different from most existing methods in the literature...
Determining the frequencies and the distribution of small subgraph patterns in a large input graph is an important part of many graph based mining tasks such as Frequent Subgraph Mining (FSM) and Motif Detection. Due to the exponential number of such graph patterns the interpretation of the mining results is mostly limited to finding unexpectedly frequent patterns, and in general identifying few particularly...
Traditional methods for image retrieval used metadata associated with images, commonly known as keywords. These methods empowered many World Wide Web (WWW) search engines and achieved reasonable amount of accuracy. A data base shape, color, texture of content based image retrieval (CBIR) and classification algorithm is based on the K-means clustering is proposed in this paper. The algorithm is found...
We present a graphical representation for palm vein patterns for use as biometric identifiers. The palm vein image captured from an infra red camera is converted into a spatial graph. After image enhancement and binarisation, the palm vein features are extracted from the skeleton using a novel two stage spur removal technique. The location of the features and the connections between them are used...
The number of known and unknown plant species increases as time goes by. Research on plant species can be further advanced if there is a quick and accurate system that can identify plants and hasten the classification process. This system will not only help in accelerating plant classification, but will also allow people who are not morphological experts to conduct their own studies. LeaVes is an...
The recognition of single objects is an old research field with many techniques and robust results. The probabilistic recognition of incomplete objects, however, remains an active field with challenging issues associated to shadows, illumination and others. With object incompleteness we mean missing parts of a known object and not low-resolution images of that object. The employment of various single...
In this paper, a comparison of the Choquet and Sugeno integrals is presented. The proposed methods enable the calculation of the Choquet and Sugeno integrals for combining multiple source of information with a degree of uncertainty. The methods are used to combine the modules output of a modular neural network for face recognition. In this paper, the focus is on aggregation operators that use measures...
Tires bear the grip and friction force between a vehicle and the ground. Worn tires will result in slippage, a longer braking distance, and even flat tires, which could eventually result in a driving accident. Therefore, governments, including Taiwan, have formulated standards stipulating the appropriate tire pressure and depth of tire treads. The tire tread depth used to be determined using manual...
Automatic 2D-to-3D conversion aims to reduce the existing gap between the scarce 3D content and the incremental amount of displays that can reproduce this 3D content. Here, we present an automatic 2D-to-3D conversion algorithm that extends the functionality of the most of the existing machine learning based conversion approaches to deal with moving objects in the scene, and not only with static backgrounds...
Image sharpness is one of the most determining factors for image readability and scene understanding. How to accurately quantify it is a hot topic. This paper systematically validates a previously proposed index for full-reference image sharpness assessment (edge preservation ratio, EPR). Based on Gaussian blurring images in LIVE, CSIQ, TID2008 and TID2013 databases, we firstly evaluated EPR accuracy...
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...
The electronic bed systems used in hospitals, health care centers are used for disabled patients, paralyzed persons, in accident cases and for old age people. The available existing electronic bed systems have only two movements of the bed such as front and back. If the patient wants to move to his right or left side, then there is always the necessity of caretakers to help patients to change their...
Image fusion is the process to combine two or more images such that the enhanced output image contains all the relevant information. This paper aims to evaluate algorithms that fuses multi-focus images. With an aim to enhance the sharpness of the final fused image and also to reduce the computational complexity, a novel method is proposed that uses the Sobel operator. This method is evaluated using...
Singular point is the location of high curvature area of a fingerprint. It represents the global characteristic and is quite useful for fingerprint classification and matching. Despite being a very important feature, the localization of the singular point is still not perfect. This paper proposes a novel algorithm to locate prominent singular points from a fingerprint image by devising the concept...
The objective measurement of blurring artifacts plays an important role in the dynamic monitoring, adjusting image quality, optimizing algorithms and parameter settings in a variety of image and video processing applications. In this paper, we propose a no-reference metric to estimate blurriness distortion. The work addresses the problem that existing no-reference metrics fail to predict the correct...
The palm was used in fortune telling 3000 years ago. Thus, During this period, many different problems related to palmprint recognition have been addressed. In the recent years, the palm print has been used for biometric applications as human verification and identification. The palm print has many features comparing with a fingerprint, The palm print has number of lines. One group of these lines...
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...
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