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This paper suggests an improved segmentation of remote sensing images based on watershed algorithm to reduce the over-segmentation of the watershed transform. Taking into the characteristics of remote sensing, remote sensing images were filtered using a fast peer group filtering (PGF). Then do watershed transform on the multi-scale morphological gradient image and merge regions by grey similarity...
A novel medical image segmentation approach, termed as threshold-based level set approach, is presented, which combines the threshold segmentation method with the fast marching method. In this approach, the original image is firstly preprocessed by anisotropic filter in order to enhance the image edge and filter noise, and then the threshold segmentation method is used to control the diffusion coefficient...
In this paper, a new interframe difference algorithm for moving target detection is proposed which is under a static background based on three-frame-difference method in combination with background subtraction method. Firstly, the current frame image subtracts the previous frame and the next frame image separately, their results are added together to get a gray-scale image of the three-frame-difference...
Microarrays are novel and dominant techniques that are being made use in the analysis of the expression level of DNA, with pharmacology, medical diagnosis, environmental engineering, and biological sciences being its current applications. Studies on microarray have shown that image processing techniques can considerably influence the precision of microarray data. A crucial issue identified in gene...
Typical digital cameras use a single-chip image sensor covered with a mosaic of red, green, and blue color filters for capturing color information. At each pixel location, only one of the three color values is known. The interpolation of the two missing color values at each pixel in a color filter array image (CFA) is called demosaicing. In this paper, we propose a novel training-based approach for...
This paper presents a new algorithm to segment fingerprint images. The algorithm uses four features, the global mean, the local mean, variance and coherence of the image to achieve the fingerprint segmentation. Based on these features, a rule based system is built to segment the image. The proposed algorithm is implemented in three stages; pre-processing, segmentation, and postprocessing. Gaussian...
In many of vessel segmentation methods, Hessian based vessel enhancement filter as an efficient step is employed. In this paper, for segmentation of vessels, HBVF method is the first step of the algorithm. Afterward, to remove non-vessels from image, a high level threshold is applied to the filtered image. Since, as a result of threshold some of weak vessels are removed, recovering of vessels using...
A novel local threshold algorithm for images with poor illumination and complex texture surface is presented in this paper. This algorithm improves segmentation quality by selecting local thresholds according to object level information incorporating prior knowledge, specifically the solidity features. Local thresholds are searched by maximizing the probability of solidity, and fragments with lower...
This paper proposed a novel method for religious portrait Thangka image retrieval based on gesture feature. Firstly, adopt the method of TPLR (two point locate rule) which we propose to annotate gesture of images that will be saved to image database, extract gesture features which are represented in a quintuple vector to store in characteristic library; Secondly, the same task such as gesture annotation,...
Based on the research of the feature analysis on the X-ray films of chest and the rib, the author raised an algorithm, which realizes the automatic extraction of the rib frame by the physic regulations. This algorithm makes full use of the image processing method of filtering, edge detection, tracking seed, parabolic fitting, and some other related image processing technology, combined with the biological...
Image segmentation is a key technique of image processing and computer vision field. However, facing with large amount of image segmentation methods, the qualitative and quantitative evaluation of algorithms is very significant. This paper states the thoughts of high resolution RS image segmentation methods evaluation and tests it by evaluating four typical image segmentation algorithms based on features...
In this paper, a procedure of edge detection for a high dynamic range image with damaged edge information is proposed. This procedure is based on a scheme of multiple filtering processes which does not include any segmentation of the image. Three different filtering processes are designed to generate three gradient maps, in each of which gradients are calculated and modulated by using a specific filter...
Aimed at the image locating problem with shielding case, this paper analysis the shortage of general pattern match algorithm then present a fast subpixel locating algorithm based on characteristic edges detect of shielding case. First, it uses binarization and blob analysis method to remove the small particles; Next, it performs a Laplacian transform to get the edge image; And then finds the line...
A novel fuzzy weighted morphological filter is proposed for image edge detection, which based on weighted morphological operators and fuzzy morphological structuring elements (SE). It divided the filter window into four sub-windows, and selects the least variance sub-window and its mean of pixels is given. If the difference value between the pixel value and the mean is small, a big weight factors...
This paper introduces the basic principle of non-negativity and support constraints recursive inverse filtering (NAS-RIF) algorithm and the shortcoming of it. We propose an improved scheme. Firstly we use the lifting wavelet de-noising technique to smoothen the blurred image, and then in the each iteration of NAS-RIF algorithm process adopt the image segmentation to find out the precise support constraints...
The paper discussed a new image segmentation algorithm that based on fuzzy mathematical morphology, aiming at the noise and exiguity catchment basin of image that result in over-segmentation phenomenon when adopt traditional watershed algorithm to segment an image. The method adopted firstly opening-closing algorithm based on fuzzy mathematical morphology to smooth the image and then to compute its...
We consider here image segmentation as a problem of clustering texture features by frequency content. Specifically, we develop a low complexity algorithm for image segmentation that operates directly on the bitstream of JPEG compressed images. Using morphological filtering and watersheds, the algorithm effectively segments an image by combining areas of similar frequency content. Its low complexity...
A simple and efficient edge detection algorithm based on wavelet transform and morphology is proposed. Combined with dyadic wavelet transform and image gradient calculation, the smoothing filter operators are introduced. Then to the non-uniform illumination problem, a local thresholding, which determines the edges, can be constructed by the algorithm of maximization of between-class variance (Otsu??s...
An approved CFAR (constant false alarm rate) method based on half side Gaussian model (HG-CFAR) is presented for the target segmentation in infrared image. Firstly, the distribution of the residual image after preprocessing based on morphological filters is exploited. Although widely used and useful, the traditional Gaussian distribution does not appear to be the best choice for modeling the residual...
Removing noise in engineering drawing images is important before applying image analysis processes. Noise should be removed while keeping the fine detail of the image intact. A noise removal algorithm that can remove noise while retaining fine graphical elements is presented in this paper. The algorithm studies the neighborhood of thin lines before choosing to remove or retain it. Real scanned images...
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