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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...
It is proposed that an efficient and fast image compression scheme based on all level curvelet coefficients with SPIHT (Set Partitioning in Hierarchical Trees). For images with textures, the high frequency wavelet coefficients are likely to become significant after several code passes of SPIHT, which degrades the coding performance. The basic flaw that wavelet transform exhibits, is its inability...
In this paper, we propose a content-based image retrieval system based on an efficient combination of both color and texture features. According to HSV (Hue, Saturation, and Value) color space, we quantified the color space into non-equal intervals, and then construct a one dimensional feature vector and represented the color feature. Similarly, the work of texture feature extraction is obtained by...
Crowd density analysis is crucial for crowd monitoring and management. This paper proposes a novel method for crowd density analysis. According to the framework, input images are firstly divided into patches, and each patch is associated with a density label based on its texture features. Finally, local information is synthesized for global density estimation. Local image content is described by features...
Texture segmentation by Pseudo Jacobi -Fourier moments is presented in this paper. Given a window size, moments for each pixel in the image are computed within small local windows, and then texture feature images be obtained by using a nonlinear transducer. Finally, each pixel in the image is classified by K-mean clustering algorithm.
It has been shown that the probability to develop breast cancer is strongly correlated with the appearance of tissue in mammographic images. This appearance incorporates both greylevel and tissue pattern aspects and models of local texture information, which incorporate both greylevel and spatial aspects, can as such be related to mammographic risk assessment. Here we represent texture by the variation...
This paper deals with the recognition of handwritten Malayalam characters. Most of the pattern recognition systems will go through the steps like preprocessing, feature extraction and classification. Here, we have presented edge detection in the preprocessing stage. It is important that the edge detector should give the character edges without fragmentation and displacement of edge pixels. Canny edge...
The extraction of disparity data by means of stereo matching has well known issues in regions of low texture. This paper proposes a method which employs texture classification metrics in order to make predictions on the quality of the stereo matching output. Such predictions can then be used to alter the way the disparity data is used in further processing, or to even cancel processing of a pixel...
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