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This paper is the continuation of a work presented at ICORR 07, in which we discussed the possibility of improving eye-hand coordination in children diagnosed with this problem, using a robotic mapping from a haptic user interface to a virtual environment. Our goal is to develop, implement and refine a system that will assess and improve the eye-hand coordination and grip strength in children diagnosed...
Anomaly detection is one of the most important applications for hyperspectral images. In this paper, a new ensemble learning algorithm for anomaly detection in hyperspectral imagery is proposed, which integrates feature grouping and anomalous signal subspace estimation. Main contribution of the proposed algorithm consists in two aspects. First, feature grouping in original hyperspectral images are...
With the arrival of High Definition Television (HDTV), the TV technology is heading towards 3DTV. Evolution of 3DTV requires the facility of capturing and analyzing the multi-view images and compressing and transmitting massive volume of data through the communication channel. The most sever issue in 3D shape extraction is the roughness of the surfaces. Image focusing is a dominant method of reconstructing...
Visual secret sharing scheme (for short the VSS scheme) with access structure based on graph \cite{ABSS96} has been proposed and this can be considered as an extension of $(2, n) $-threshold VSS scheme. Ateniese et al. showed a decomposition method that we decompose star graphs from a given graph which edges are specified by qualified sets. Namely, two participants (vertices in a given graph) has...
In this paper, we proposed a swift impulse noise suppresser based on adaptive growth algorithm (AGA). It is mainly composed of three parts: signal detector, adaptive growth and indispensable reestablishment and correction. Firstly, we designed a signal detector to detect the real signal pixels and calculated signal density according to the analysis of the characteristic of impulse noise and the distribution...
Segmentation of satellite images is an important step for the success of the object detection and recognition in image processing. Segmentation is the process of dividing the image into disjoint homogeneous regions. There are many segmentation methods and approaches, the most popular are clustering methods and approaches such as Fuzzy C-Means (FCM) and K-means. The success of clustering methods depends...
Motion detection is a vital part of vision systems, either biological or computerized. Conventional motion detection methods in machine vision can differentiate moving objects from background, but cannot directly handle different types of motions. In this paper, we present Genetic Programming (GP) as a method which not only removes relatively stationary background, but also can be selective on what...
In this paper, I propose a novel hybrid approach of license plate recognition system based on Neural Network and Image Correlation for classification of characters. I used image processing for segmentation. The purpose of this study is to develop a more reliable hybrid system than individual one. The license plate number of the vehicles taken from an acceptable distance from it up to 10m. This hybrid...
This paper presents design tutorials on image and audio signal processing for an introductory digital systems course. The objectives are to introduce advanced design and to promote interest in digital systems. The use of audio and visual components of design can enhance student's hands-on learning. By using co-simulation, a method in which software in a numerical computation environment generates...
The paper designs a common image acquisition system for digital cameras with Camera Link interface. The system uses CMOS image sensor of 1.3 million pixels as the light-sensitive chip and high-performance FPGA as the main controller. In order to meet ease of use and high real-time demands, the system uses high-speed USB2.0 interface to transfer image data between the acquisition system and PC. Further...
This paper introduces region of interest (ROI) as a functionality to local tone mappings of high dynamic range (HDR) radiance maps. In the proposed scheme, a new quadratic regularization method is provided to decompose the luminance of an HDR radiance map into a base layer with large gradients and a detail layer with small gradients. An ROI based global tone mapping is designed to compress the base...
The 3D reconstruction for freehand 3D ultrasound remains a hard problem because that the recorded B-scans are not only sparse, but also non-parallel (actually they may intersect each other). Conventional volume reconstruction methods can't reconstruct sparse data efficiently while not introducing geometrical artifacts, and conventional surface reconstruction methods can't reconstruct surfaces from...
The complexity of hand function is such that most existing upper limb rehabilitation robotic devices use only simplified hand interfaces. This is in contrast to the importance of the hand in regaining function after neurological injury. Computer vision technology has been used to identify hand posture in the field of Human Computer Interaction, but this approach has not been translated to the rehabilitation...
With the development of flow visualizations and measuring techniques, the particle image velocimetry(PIV) is applied in experiments and researches of fluid gradually. But, the background noise is unavoidable in acquiring partical images. The experimental researches showed: the background noise, which will lead to errors or deviations in gray value of partical images, introduces errors in velocity...
Forest type identification is one of most important contents of forest inventory. K nearest-neighbour algorithm has already proven their use in forest mapping. However, as the remote sensing data was large scale, the efficiency of processing based on KNN decreased seriously. Therefore, the study implemented a tool which could have the feature of fast processing multi-spectral data based on KNN. For...
This paper proposes a novel scheme to save the usage of ink or toner by an approximate-K algorithm for color printers. Existing printers use the mixtures of three color toners(C, M and Y) to print all the pixels for color images, and it makes color printing cost 4-4.5 times more expensive than monochromic printing. Since human eyes are not sensitive to distinguish neighboring colors in the color space,...
In this work, a sample rate estimator is proposed for selective graphics rendering so that the samples are allocated such that the best perceived image quality can be achieved under a given sample budget. In the proposed estimator, the sample rate of a pixel is decided by not only the visual attention (VA) level of the region to which the pixel belongs but also the required rendering complexity (RC)...
In applications where shape is used as metadata to describe image and video content, image dependent techniques exhibit superior error concealment performance compared to the traditional MPEG-4 like image-independent techniques. The image corresponding to a particular shape may not be readily known at the decoder and rather needs to be retrieved from of a set of images. This paper presents a novel...
Identifying events in sports video offers great potential for advancing visual sports coaching applications. In this paper, we present our results for detecting key events in a tennis match. Our overall goal is to automatically index a complete tennis match into all the main tennis events, so that a match can be recorded using affordable visual sensing equipment and then be automatically indexed into...
Traditional window-based color indexing techniques have been widely used in image analysis and retrieval systems. In the existing approaches, all the image regions are treated with equal importance. However, some image areas carry more information about their content (e.g. the scene foreground). The human visual system bases indeed the categorization process on such set of perceptually salient region...
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