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This paper presents a novel region merging segmentation method for color image based on color and texture distribution features. The segmentation strategy includes two phases. In the first phase, we select initial seed points for super pixels extraction in the texture energy image at average intervals. Then we implement pixels clustering to extract over segmentation regions at local areas using color...
With the rapid development of the information age and the wide range of use of multimedia technology, the problem how to solve a large number of efficient management of multimedia information has become an urgent need. In this paper, improvement ideas of the algorithm by analyzing the principle of traditional texture roughness retrieval algorithm is summarized and realized, and improved texture roughness...
Shadows arise when objects completely or somewhat occlude direct light from a source of illumination. This method is based on Tri color attenuation model (TAM). The proposed approach is based on shadow properties and exploits color information. Shadow is treated as a extraordinary kind of image degradation. Shadow area generally has lower brightness than non-shadow region. Based on TAM a shadow detection...
When mosaicking two adjacent orthophotos, the transition from one orthophoto to the other is cannot be seen. The requirements of such an optimal seamline include high color similarity and high texture similarity. In this paper, a novel method integrated snakes and bresenham is presented. The calculation of photometric energy in the snake model considers not only the discrete points, but all the points...
According to the Vertex Texture Fetch technology in Shader Model 3.0, we designed a terrain rendering algorithm based on vertex texture. The algorithm storages the data of terrain as vertex texture, and get elevation value through the vertex shaders. During rendering phase a group of nested grids are built centeredly around current viewpoint. Elevation values are sampled from the vertex texture according...
In the Content-base animation Image Retrieval System, the Opponent Color Local Binary Pattern (OCLBP) algorithm is a typical multi-feature extraction solution, but it has the problems of high dimension of feature and complexity computational. For the defect of Opponent Color Local Binary Patterns, this dissertation presents a new Color-texture feature extraction method. By using the Local Binary Patterns...
Key-frame-extraction has been recognized the important research issue in the content based on video retrieval. And the effectiveness of the key frames will directly influence on video retrieval. This paper proposes a new method of video key-frame-extraction based on block local features and mean shift clustering. Firstly, we partition the image by the block-weighted strategy, and then extract the...
In order to accelerate the speed of texture synthesis and improve the quality of results, the seeding texture synthesis algorithm is proposed in this paper. First, we pre-compute samples to obtain seeds of samples and basic attributes, then seed by using stabilization neighborhood relations and the candidate set in the synthesized space. After the completion of seeding, all seeds begin to grow. Finally,...
Content-based image retrieval relies on the use of efficient and effective image descriptors. One of the most important components of an image descriptor is concerned with the distance function used to measure how similar two images are. This paper presents a clustering approach based on distances correlation for computing the similarity among images. Conducted experiments involving shape, color,...
This paper presents an improved Mean Shift tracking algorithm. It extends the classic Mean Shift tracking algorithm by combining color and texture features. In the proposed method, firstly, both the color feature and the texture feature of the target are extracted from first frame and the histogram of each feature is computed. Then the Mean Shift algorithm is run for maximizing the similarity measure...
Digital image inpainting belongs to image recovery field, which is to fill the region where information is missing or to replace the missing region with different information. In this article, we mainly study the Exemplar-based method, which was proposed by Criminisi. The Exemplar-based method is to choose appropriate exemplar patches from a known image or the known region of the image waiting to...
During the last decade, Geographic Information Systems (GIS) considerably evolved: the amount of stored data explodes and the tools used to treat them have been improved. During the same period the arrival of very high spatial resolution satellite images (less than 1 meter) gives an inexhaustible source of information actually largely unexploited. We generally use images (satellite or airborne) in...
Landscape feature extraction and quantification have been a bottleneck problem when studying the relationship between roadside landscape and driving psychology. According to the diversification and detailed texture of roadside landscape unit, three kind methods such as Marker-based watershed algorithm, Canny edge detection algorithm and Texture analysis algorithm were explored for the research of...
A new algorithm namely moving cast shadow elimination based on luminance and texture features (MSELT) to detect moving shadows of vehicles is investigated in this paper. Different from traditional methods only performed in color space, we combine the luminance in the CIE Luv color space and texture feature to determine shadows. The proposed algorithm based on Gaussian Mixture Model (GMM) uses the...
In this paper, a more suitable algorithm for 3D game terrain real-time rendering is put forward based on geometry clipmaps algorithm and combined with 3D games. In this algorithm, the entire terrain can be rendered through only one draw call by improving the structure of grid and the organizational structure of the index, which can take full advantage of GPU. And by increasing the index of vertices...
Gaussian mixture modeling is a recent approach in texture analysis and is used to model image textures. Texture is modeled using a mixture of Gaussian distributions, which capture the local statistical properties of the texture. The mixture parameters are estimated using Expectation Maximization algorithm. This algorithm finds the maximum likelihood estimate of the parameters of an underlying distribution...
We propose an image segmentation methodology which exploits gradient information in a multiresolution framework. The proposed algorithm commences with a wavelet decomposition procedure to obtain a pyramidal representation of the input image, accompanied by an adaptive threshold generation scheme required for segregating regions of varying gradient densities. At low (coarse) resolution levels, progressive...
After PCA pre-processing, rough set theory was introduced in image's feature attributes reduction, and its application in characterized parameters' attribute optimization was explored. The combination of these two methods was effective in reducing the unnecessary attributes. The novel algorithm could also decrease the complexity of CBIR's inner redundancy. The experimental result of attribute reduction...
The restoration of damaged images or the removal of shielding materials in a given image is well known as image completion. An important method is the exemplar-based image completion, which propagates pixel information in the source region into the missing region. Firstly, we compute the filling priority of unknown pixels based on the color and structure information, and determine the patch whose...
Image completion is to recover its damaged regions to get a visually satisfactory result. Recently, exemplar-based method is an important method, which propagates sample patches into unknown regions from known regions. It should take two steps. The first is to search for the most matching patch in another same intact image, or the other part of this image, and the second is to inpaint the damaged...
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