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In this paper, we introduce a new real-time rendering algorithm for virtual endoscopy based on GPU. The algorithm reduces the amount of data collected by the Image Memory without affecting 3-D image display accuracy. And it can be applied to compute any complex ray-generation and rendering clips in the volume rendering, making use of GPU's power of parallel computation computing and multi-data processing...
This paper describes a novel fast mean shift algorithm based on a resampling technique with marked regular pyramid structure. This new method focuses on solving the problem of high calculation complexity when high data dimension or large data sets are involved in mean shift. By resampling the original image with marked regular pyramid structure, improved method reduces the number of pixels requiring...
This paper proposes a novel face detection method that finds tiny faces located at a long range even with low-resolution input images captured by a moving robot. The proposed approach can locate extremely small-sized face regions of 12x12 pixels by combining the results from mean-shift color tracking, short- and long-range face detection, and omega shape detection. According to the experimental results...
At present, screen image compression techniques are mostly designed for computer desktop, and there is still much room for improvement of the image compression quality and compression ratio, etc. when applied to scientific instruments workstation screen image. In order to solve such problems, this paper puts forward a kind of compression method applicable to scientific instruments workstation screen...
In this paper, we propose the novel use of Statistical Process Control (SPC) as a tool for identifying anomalies in digital cameras, by analysing image variations. We apply SPC on six low-end cameras, and one mid-range camera. By plotting the mean distribution of image pixel data through control charts, we have been able to identify a clear distinction between images captured from low-end cameras...
We construct Kernel Co-occurrence Matrices (KCMs) to represent the target model and the target candidates. Then those matrices are employed as the tracking cues in mean shift framework. Some improvements are presented in the implementation of the algorithm. First, the angle relation between pixel-pairs is redefined to depict the asymmetric characteristic of the object. Second, the KCMs of the target...
We propose a method to edit RGBNs (images with a color and a normal channel). High resolution RGBNs are easy to obtain using photometric stereo. Free editing will result in normals which do not correspond to any realizable surface. Our normal operators guarantee the integrability of the results. Our method can filter normals with any linear kernel allowing high-pass and edge-enhancement filters. We...
This paper proposes an improved version for the JSEG color image segmentation algorithm, combining the classical JSEG algorithm and a local fractal operator that measures the fractal dimension of each pixel, thus improving the boundary detection in the J-map. Experiments with natural color images of the Berkeley segmentation dataset and benchmark are presented, which show improved results in comparison...
This work aims at investigating the influence of luminance information and environment illumination on skin classification. We explore Bayesian approaches to perform automatic classification of human skin pixels on digital images, using color features as input. Two probabilistic skin color models were built on different color spaces (RGB, normalized RG, HSI, HS, YCbCr and CbCr) and tested in a task...
Recently, as the fast development of the computer network communication technology, itpsilas more and more convenient for the digital information storage and transmission. Therefore, more and more attention is focused on the copyright protection of digital information. An algorithm that gray image as watermark is embedded in original color-image is introduced. This algorithm thinks over both unobtrusiveness...
Currently, noise interference and data loss are two major problems that affect the processing results of image data transmission and storage. In order to restore damaged image data effectively, we propose a novel image inpainting technique based on wavelet transformation. The primary feature of our proposed technique is to separate the given image into two principal components which encompass image...
Tree ring analysis provides useful data for dendrochnologists that can help them for better understanding of climatic and environmental changes. Yet detection and counting of rings in cross section of tree were realized manually which is time consuming and tedious work. Our research was motivated by the need of a fast and accurate method. This paper describes a semi automatic approach for tree rings...
In this paper a new transformation which enables us to detect boundaries of cast shadows in high resolution satellite images is introduced. The transformation is based on color invariant indices. Different radiometric restoration techniques such as gamma correction, linear-correlation correction and histogram matching are introduced in order to restore the brightness of detected shadow area
This article presents how synergies between color decoding and PIP-processing are used to perform both on a single chip. Furthermore, ways to reduce A/D-converter resolution and to save PIP-memory are investigated.
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