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Text contained in images and video frames provide an important clue for content based images and video indexing. However, in natural scene, text elements are corrupted by many types of noise, such as streaks, highlights, or cracks. These effects make the clean and automatic segmentation very difficult and can reduce the accuracy of further analysis such as optical character recognition. This paper...
The text appears in the images is important for fully understanding the images. The number of digital images and digital videos has increased tremendously. Although there are many methods have been proposed over the past years for the text extraction from natural scene images, the text detection and extraction from born-digital images are still a challenge. In this paper, we describe existing methods...
In the work, an example-based method of touching string segmentation is proposed. Using Markov random field, the candidate patches based on the compatibility of the neighbour patches are selected. The outputs of the MRF after the iterative belief propagation form a segmentation probability map. The cut position is extracted from the map. Experiment results are presented and demonstrate the effectiveness...
A semi-fragile watermarking algorithm for copyright protection and content authentication is proposed in this paper. The features of the proposed algorithm are as follows: 1) The watermark depth can be adaptively adjusted according to local audio character, enhanced the robustness of digital audio watermark ; 2) The copyright protection and content authentication for digital audio can be utilized...
PET and CT image registration is an important tool of clinical diagnosis of diseases. For PET and CT images, a preprocessing algorithm of medical image registration is proposed in this paper. The algorithm process includes image normalization, CT image adaptive threshold adjustment and automatic extraction of tissues based on morphology, edge detection and statistical analysis theory, and improved...
The algorithm of touching string segmentation is concerned in the work. We proposed an example based touching string segmentation algorithm. The supervised learning was used on the labelled examples and the Markov Random Field has been applied on. We used the belief propagation minimization method to select the candidate patches based on the compatibility of the neighbour patches. The output of the...
This paper presents a new semi-fragile watermarking algorithm for audio authentication, which takes full advantage of scrambing algorithm. Watermark scrambling algorithm can dispel the pixel space relationship of the binary watermark image. After scrambing, the white pixels and black ones of original watermark image are comparatively orderliness, which is robustness against signal processing and fragility...
This paper presents a new lung segmentation algorithm which is based on anatomical knowledge and Snake model. This algorithm totally overcomes the disadvantage of traditional lung segmentation algorithms, which are mainly based on edge extraction, mathematical morphology, region growing, threshold, etc.; and can't get satisfied results when segmenting pathological clinical CT images with traditional...
In this paper, an interactive lung parenchyma segmentation algorithm is put forward with improved Live-Wire model, Snake model and contour interpolation, which takes full advantage of lung contours' slow change in adjacent CT image layers and operators' professional knowledge. Firstly, we manually select key slices of lung parenchyma in serial CT images, then draw the lung's contours in key slices...
In this paper, two new energy functions are presented to handle the slanted plane. First, the gradient information is used to get the initial disparity in a local energy function. Second, a global energy function is incorporating segment geometric constraints. To overcome the fronto-parallel model errors, the segment adjacent segments cooperative optimization is used to infer the unreliable pixel...
In this paper, a novel stereo matching algorithm for larger disparity range is proposed that a new local energy function and a new global energy function are presented, which use the gradient information and adjacent segment geometric constraint respectively. First get the reliable pixel disparity, then, infer the disparity of un-reliable pixel from the reliable pixel disparity using the neighbor...
In this paper we present a method for developing a fully automated computer aided diagnosis (CAD) system to help radiologist in detecting and diagnosing micro-calcifications (MCCs) in digital format mammograms. One aim of the CAD system is to increase the effectiveness and efficiency of screening procedures by using computer. Another aim of the CAD is to extract and analyze the characteristics of...
Feature extraction is a key point of pattern recognition. Wavelet features are attractive for vehicle detection because they form a compact representation, encode edges, capture information from multi-resolution, and can be computed efficiently. This paper concerns the improvement of wavelet features. Currently, the wavelet features directly based on signed coefficients are easily affected by the...
The accurate segmentation of pulmonary nodules lays the foundation for distinguishing malignant from benign pulmonary nodules. In this paper, a robust and automatic algorithm is proposed to segment lung nodules slice-by-slice in three dimensional (3D) Computed Tomography (CT) images. A nonparametric estimation method called Mean-Shift (MS) algorithm was applied to segmenting lung nodules. It is critical...
A rear-vehicle detection system of static images based on monocular vision is presented. It does not need the road boundary and lane information. Firstly, it segments the region of interest (ROI) by using the shadow underneath the vehicle and edges. Secondly, it accurately localizes the ROI by vehicle features such as symmetry, edges and the shadow underneath the vehicle, etc. Finally, it completes...
This paper presents a novel enhancement filter as a preprocessing step in the early detection of lung cancer. The identification and enhancement of the nodular structures is the initial stage in computer-aided diagnosis (CAD) for improving the sensitivity of nodule detection and reducing the number of false positives. Based on nodular texture feature and mathematical morphology, our proposed enhancement...
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