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A new method of affine object recognition and affine parameters estimation is presented. For a real-time image and a group of templates, firstly, we segment the object regions in them and compute their covariant matrices. Secondly, normalize the ellipse regions defined by covariant matrices to circle regions to get rotational invariants, and compute the similarity function value between rotational...
The analysis method of quotient space theorem is selected to study the wavelet transform and the conclusion is reduced that wavelet and quotient space theorem is accordant. The quotient space granularity computing theorem and wavelet transform being combined, presented the new segmentation algorithm, experimental results demonstrate that is useful and valid for complicated texture image segmentation.
This paper proposed an adaptive shadows detection algorithm based on Gaussian Mixture Model to improve the performance of video object segmentation. This method takes advantage of luminance weight to model the background of the image and obtains a primary segmentation in CIE Luv color space. In this way, it improves the real-time ability of detection. It also becomes more efficient, comparing with...
Digital subtraction angiography (DSA) is a type of medical imaging technique used in interventional radiology, which can eliminate the interferential background and give prominence to blood vessels by computer processing. By analyzing the characteristics of DSA medical images, this paper proposes a new solution for this particular image de-noising, which is using improved soft thresholding. In order...
Taking Asian-Pacific robot contest as the background and robot vision system as the object of research, the target recognition arithmetic based on color information is introduced. It proposed eight connection clustering arithmetic based on color double thresholds in HSI color space. H-S double threshold is discussed deeply and pixels classed based on table is used, so calculating of image segmentation...
According to the property of wavelet transform and fabric texture's Fourier spectrum, a new method for defect detection was presented. The proposed method is based on wavelet lifting transform with one resolution level. By using restoration scheme of the Fourier transform, the normal fabric textures of smooth sub-image in the spatial domain are removed by detecting the high-energy frequency components...
This paper firstly introduced the traditional LSB information hiding scheme, then proposed an improved LSB algorithm. This algorithm implements the information by many kinds of transformation. Theoretical analysis and experimental results demonstrate that the information hiding scheme can effectively resist both RS and statistics analyses, and improve the security of traditional LSB scheme.
This paper puts forward a novel method using dynamic programming and grey relational analysis to find a best seam line because of the grey scale difference in the edges of image in the overlapping region and the relation of neighboring points. The first step is to find an optimal seam line to stitch the images. Then the seam line is removed by a hard correction method based on dynamic width. Finally,...
In content-based image retrieval, the method based on salient points detection is one of the most active research areas for it can represent the local properties of the image. This paper proposes an improved salient points detector based on wavelet transform which can extract salient points more exactly. Then, an annular segmentation algorithm based on salient points distribution is designed, which...
A blind watermarking algorithm based on DCT for digital image is proposed, in which a 2-bit image embeds in a 8-bit gray image. Preprocess of image watermark, watermark embedding and extraction are the main parts of the algorithm. In the preprocess of image watermark Arnold scrambling is used to reduce the relevance of the watermark and also to improve the robustness of the image embedded watermark...
A watershed color image segmentation algorithm by integrating anisotropic diffusion with morphological reconstruction and automatic seeded region growing is proposed in this paper, the anisotropic diffusion with morphological is used for image smoothing, which can maintain image edges with noises eliminated, as a result, the watershed's over-segmentation is decreased effectively. And then, an automatic...
With the illumination of the basic idea of model-based texture analysis methods, a new feature extraction method, Finite Texture Mixture Pattern (FTMP), was proposed in this paper. FTMP is a two-tuplet set, which can be obtained by the clustering methods. Firstly, the multi-scale and multi-direction variations are calculated. Secondly, these variations of each scale are clustered into groups respectively...
Image retrieval is generally implemented by image matching or based-regions retrieval, but itpsilas difficult to balance retrieval performance and complexity. Query images may appear with different scales and rotations in different images, so a hierarchical image segmentation is proposed to partition the retrieved images into equal blocks with different sizes at different levels. Then, the similar...
This paper introduces an image segmentation algorithm of weighted with neighborhood gray difference fuzzy c-means clustering (WFCM) and experiments with the samples on two-dimensional histogram between the original image and its median filter image. Experimental results demonstrate that this scheme can not only effectively segment the low contrast object, but also reduce the noise from the background.
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