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Texture synthesis is a modern technology which grows rapidly in recent ten years. An improved example based texture synthesis algorithm is proposed. The basic idea is from the famous texture synthesis algorithm of WL00[4]. Two improvements are done in this paper. The first one is to automatically determine the neighborhood size during the neighborhood match process, the second one is that each time...
In this work, we introduce a computational approach that automatically detects stained follicles in IHC-stained follicular lymphoma slides using various biomarkers. This novel approach is to process whole-slide and Giga-byte scaled pathology images at multi-resolution levels. The average segmentation accuracy achieves at 83.09±6.25%. Such a computerized analysis of images is expected to provide a...
We consider the scenario of view synthesis via depth-image based rendering in multi-view imaging. We formulate a resource allocation problem of jointly assigning an optimal number of bits to compressed texture and depth images such that the maximum distortion of a synthesized view over a continuum of viewpoints between two encoded reference views is minimized, for a given bit budget. We construct...
The future of video coding for 3DTV lies in the combination of depth maps and corresponding textures. Most current video coding standards, however, are only optimized for visual quality and are not able to efficiently compress depth maps. We present in this work a content adaptive depth map meshing with tritree and entropy encoding for 3D videos. We show that this approach outperforms the intra frame...
Multi-view video plus depth (MVD) format, which consists of texture and depth images, has been recently presented as video representation to support depth perception of scenes and efficient view generation at the arbitrary positions. In particular, a depth image has been one of the significantly important issues for successful services of highly advanced multi-media video applications, such as three-dimensional...
A new integrated feature distributions based color textured image segmentation algorithm has been proposed. The proposed scheme uses histogram based new color texture extraction method which inherently combines color texture features rather then explicitly extracting it. Use of non parametric Bayesean clustering makes the segmentation framework fully unsupervised where no a priori knowledge about...
This paper presents a novel technique of obtaining the Region of Interest (ROI) which is square-shaped. After palm print segmentation, we perform texture feature extraction using Local Binary Pattern (LBP) based on the directional gradient response. With the feature vectors so obtained we perform matching using Support vector machines (SVM) and also using the Chi-square distance measurement. The experimental...
This study tries a quantitative characterization of the thyroid tissue as far as homogeneity and echogenicity are concerned, to quantitatively evaluate thyroid texture. Digital image processing techniques offer the opportunity for texture description. Although there is no formal definition of texture, this particular method of description can quantify properties such as smoothness, coarseness and...
Detailed research is conducted on video texture for 3D movie play application and current research situation, problem and challenge in the world are analyzed in this paper. Then an effective solution is presented. Direct Show is used to manage the video data while Direct 3D serves as graphic rendering API. This paper extracts the parallel computing module from the fixed rendering pipeline and takes...
The goal of image segmentation is to partition an image into regions that are internally homogeneous and heterogeneous with respect to other neighbouring regions. We build on the pyramid image segmentation work proposed by [BHR] and [SSN] by introducing a mixture of colour and texture cues in order to more accurately group regions. Statistical comparison of each colour channel separately along with...
In this paper, an objective assessment model based on three-component weighted structural similarity is presented for stereoscopic image. Since different distortions affect details of stereoscopic image differently, the image is classified into three kinds of regions including edge, smooth and texture regions so that different weights are associated to different regions to assess distorted stereoscopic...
This paper introduce a new method to characterize the preparation results of calcium aluminoferrite solid solutions, Ca2(Fe1-xAlx)2O5 by means of combustion synthesis base on texture analysis. To define a image characteristics can be used many features. Using all of them we don't obtain good performance in the field of description. There are also some speed problems because are many features used...
The goal of multi-modal image fusion is to combine complementary information from multisensory data such that the fused image is more suitable for the purpose of human visual perception, computer-processing tasks and detection applications. In this paper, we first use independent component analysis (ICA) as the primary transformation to obtain adaptive analysis bases trained by similar reference images;...
The most annoying artifacts in image deconvolution are ringing and amplified noise. These artifacts can be reduced significantly by regularization using the Maximum a Posteriori (MAP) method that exploits not only the likelihood but also the image prior in image deconvolution. Although ringing and noise can be reduced significantly with strong regularization, image details are also reduced, so the...
We propose a cascade of two complementary features classifiers to detect pedestrians from static images quickly and accurately. Co-occurrence Histograms of Oriented Gradients (CoHOG) descriptors have a strong classification capability but are extremely high dimensional. On the other hand, Haar-like features are computationally efficient but not highly discriminative for extremely varying texture and...
In this paper a new very low bit rate segmented image compression method based on particle swarm optimization (PSO) is proposed. In the segmented image coding schemes, the given image is firstly segmented and, then, the contours and textures of regions are extracted and encoded. In our method seeded region growing method (SRG) is used to segment the image. The proposed algorithm randomly initializes...
In the process of traffic video segmentation, the moving shadows have always been wrongly detected as foreground, which will in turn affect the latter processes of detection, analysis and tracing. We propose a method of moving shadow detection based on local texture features integrated with linear characteristics. Firstly, an adaptive background model was built on the basis of RGB color information,...
With the progress in image processing and pattern recognition, computerized tongue diagnosis has received considerable recent research interest. In computerized tongue diagnosis, reflection is unavoidable in the acquisition of tongue images. Correct detection of the highlight area and removal of reflection in tongue images is requisite and would greatly affect the performance of tongue texture analysis...
Due to the prevalence of digital cameras, it is easy to retrieve digital images from the Internet. With the rapid development of digital image processing, databases, and Internet technologies, how to efficiently manage a large amount of digital images is very important. In this paper, we proposed a novel approach for automatic image annotation. We extract color, texture, and shape features from a...
This paper presents a new method to extract foreground using Graph-cut on color and texture combination. Traditional graph-cut algorithm only used intensity at pixel level, this amount of information is insufficient for complex situations in which objects are camouflaged or in uneven exposure condition. Our method makes use of texture additionally from dense SIFT sampling to segment robustly hard...
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