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One of the fundamental issues of human and computational cognitive psychology is pattern or shape recognition. Various applications in image processing and computer vision rely on skeleton-like shape features A possible technique for extracting these feautures is thinning. Although the majority of 2D thinning algorithms work on digital pictures sampled on the conventional square grid, the role of...
In this paper, we suggest a method for collaborative work with large amount of graphical content in 3D virtual worlds. We argue that applying this method will benefit educational and other professional use of this technology. The most common problems with applying 3D virtual worlds in everyday teaching and learning are steep learning curve and demand for computational and networking resources. The...
An improvement of J.C.S. Jacques, C.R. Jung, S.R. Musse background subtraction and shadow detection in grayscale video sequences method [1] is proposed. Described improvements reduce amount of false positive results of background subtraction (especially in light and monotonous areas) and its sizes, improve background model quality, provide better outcome results.
In this paper, we consider a learning environment, which students solve the problem while reading digital contents. Here, we extract the relationship between the frequency for reading each page and the understanding for given problems. The above relationship can be modeled by using neural networks. Furthermore, we use a learning method with forgetting for neural networks for the purpose of clarification...
Quartz wafer inevitably produces various physical defects in the production process. This paper focuses on the quartz wafer dirt defects, and proposes a way for image processing on the quartz wafer by using of computer vision library OpenCV. The proposed method is to find contours of the processed images to judge whether there is dirt or not. Experiments show that this method can well detect the dirt...
Super-resolution (SR) methods enable to obtain high resolution image (HR) from multiple low resolution input images (LR) of the same scene. Development of SR algorithms for real applications require reliable image quality metrics for performance comparison of various SR methods. In this paper, six standard SR methods were implemented and subjective image quality assessment was performed to evaluate...
Estimating depth in monoscopic images and videos is a non-trivial problem due to the inherent ambiguity that arises when a 3D scene is projected onto a 2D plane (the image). But because depth estimation is so useful, many different techniques have been developed to solve this problem. Unfortunately these methods tend to be computationally intensive or require precise knowledge about the camera that...
This work is particularly done in context to the manhole covers being used in the emirate of Abu Dhabi. Image processing techniques are used to analyze, calculate and display the required information about the graphite, extracted from the micrographs. Images taken from finely grinded and polished samples are used as an input. A graphical user interface is used to display the results. The image is...
The amount of data stored in social media sites is humongous. It has very large in numbers and very diverse in variety. Researchers have already started using this information in various information security applications such as censorship resistance. When image data from social media sites are used in computational applications for hiding data or obfuscating data, it is important to retrieve the...
We developed a presentation support agent to provide some features beyond the traditional presentation tools. This agent has a human-like interface and the dynamic effects for the presentations. It is controlled with a wireless remote device. Getting use to operate the agent experimentally, user experience tended to be improved.
Besides the iris, conjunctival vasculature may also be used for ocular biometric recognition. Conjunctival vessel patterns can be easily observed in the visible spectrum and can compensate for off-angle or otherwise occluded iridial texture. In this paper, classification of conjunctival vasculature using Gray Level Co-occurrence Matrix (GLCM) is studied. Statistical features of GLCM, i.e., contrast,...
We are interested here in retrieving images containing a specific person in image database. Due to large variations in illumination conditions, hairstyles, facial expressions, etc. and the factors like occlusion, sunglasses, profile, etc., robust face matching has been a challenging problem. On the other hand, the speed of search is also a considerable issue, especially for the dataset with millions...
In this paper, we exploit some global shape properties in an efficient shape matching and retrieval method, which is robust with respect to rigid transformations (translation, rotation, scaling) and some deformations. The retrieval of similar shapes is obtained by normalizing the query shape and the database shapes using the area, the center of mass and the minimum bounding box. Then, an alignment...
A face detector will classify many thousands of windows within an image, generating multiple positive classifications in the proximity of a face. Consequently, practical detectors must perform output-processing to give a single hypothesis per face. This problem is considered in this paper, in order to facilitate comparisons of detectors and provide practitioners with guidelines for constructing these...
In this paper, fuzzy logic and alpha-trimmed mean based filter has been proposed for the smooth out uniform impulse noise from corrupted gray-scale images. The proposed method employs the concept of alpha-trimmed mean in combination with fuzzy logic to avoid the outlier effect. Alpha-trimmed mean and median values play an important role to formulate the fuzzy membership function. This function is...
In non homogeneous environments, the non stationary clutter statistics in which the radar operates and the number of interferences that may be present in the reference window, are unknown a priori. In such a case, the use of automatic censoring techniques becomes an essential task. In this paper, we develop the Forward and Backward Automatic Censoring Binary non-Coherent Integration Constant False...
This paper deals with the study of effect of fractional operators in chaotic systems. Chaos means randomness and irregularity. Some of the typical features of chaos are non-linearity, determinism, sensitivity to initial conditions and irregularity. In this paper, three s-to-z transformations viz. Tustin, Al-Alaoui and Maneesha-Pragya-Visweswaran operators have been used to obtain integer order approximations...
Research in psychology and SSP often describe posture as one of the most expressive nonverbal cues. Various studies in psychology particularly link posture mirroring behaviour to rapport. Currently, however, there are few studies which deal with the automatic analysis of postures and none at all particularly focus on its connection with rapport. This study presents a method for automatically predicting...
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