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For remote sensing image understanding, target detection is one of the most important tasks. In this paper, we propose one object detection method based on region proposal detection via active contour model and detection based on one-class classification method. The large scale remote sensing image is split into several connected components. And then, the proposed algorithm detects the object from...
In this paper, a new approach of segmenting cine coronary angiography is proposed. Rather than treating each frame of a video sequence individually and applying the segmentation on them separately, our approach tackles the segmentation of all the frames as a whole via incorporating the prior knowledge that the background components in all frames have much strong correlation mutually than vessels do,...
Kidney segmentation is an important step for computer-aided diagnosis or treatment in urology. In this paper, we present an automatic method based on multi-atlas image registration for kidney segmentation. The method mainly relies on a two-step framework to obtain coarse-to-fine segmentation results. In the first step, down-sampled patient image is registered with a set of low-resolution atlas images...
Cardiac CT angiography (CCTA) is widely used in the diagnosis of coronary heart disease. It can provide 4D (3D + t) sequence with high spatial and temporal resolution. Segmentation of left ventricle (LV) in 4D CCTA sequence can provide useful information for clinical practice. In this paper, we present an automatic method for LV segmentation in 4D CCTA sequence in this paper. This method mainly relies...
Angiographic image is the perspective projection of the whole body from a 3D space to a 2D imaging plane, in which X-ray is used. As such, topological vasculature information has been lost. In 2D angiograms, foreshortening and overlapping are commonly observed in tubular-like structures. Hence, an optimum viewing angle should be determined to observe an interesting vessel segment (IVS) or an interesting...
Edges in images are considered to be basic low-level features in image processing and pattern recognition. In this paper, we propose a new method for edge detection using the exponential function. The pixel values within a mask are normalized so that they can be regarded as probabilities. Then, the sum of the exponential or the reciprocal of exponential functions of the probabilities is calculated...
By tuning the profiles of high-index segments in the cladding, single-mode operation with low fundamental mode loss can be achieved in the proposed polymer optical fiber with a core radius of 10 μm.
In this paper, we propose a Maximum a Posteriori (MAP) method which combined Markov Random Field (MRF) and the feature of vessel-like feature of the angiograms. As considering the advantages from both, the proposed method is sensitive to the vessel-like structures in the angiograms and robust to noise. Hence, it is able to extract the details of the vessels while at the same time reducing the noises...
There are a number of noise areas, blur and adhesive froths in flotation image, with which classical watershed has no corresponding mechanism to cope. The paper proposes a segmentation algorithm of adaptive ray cluster, seed region are extracted by visiting every pixel just once and then noise areas are removed out. Ray cluster connected with the area of a seed is symmetrically launched from geometric...
This paper proposed a novel metal artifact reduction strategy for computerized tomography (CT). Firstly, an adaptive steering filter is applied to suppress noise and smooth artifacts in the original CT image with metal artifacts. Secondly, the metal component and artifact component is extracted from the filtered image using Mutual Information Maximized Segmentation (MIMS) with different maximum class...
Optimization of the similarity measure is an essential theme in medical image registration. In this paper, a novel continuous medical image registration approach (CMIR) is proposed. The CMIR, considering the feedback from users and their preferences on the trade-off between global registration and local registration, extracts the concerned region by user interaction and continuously optimizing the...
The issue of target localization by means of texture analysis is addressed. First the texture feature extraction based on multi-channel Gabor filter decomposition and the rotation invariant representation of Gabor features are analyzed in the view of their ability of classification. After that, a method based on Gabor features and neural network classifier is proposed. The method is composed of two...
Traditional barcode localization methods based on image analysis are sensitive to the types of the target symbols and the environment they are applied to. To develop intelligent barcode reading system used in industry, a real-time region based barcode segmentation approach which is available for various types of linear and two-dimensional symbols is proposed. The two-stage approach consists of the...
Robust video transmission over wireless channels is very critical due to channel impairments and to their effect on the compressed bitstream. Error detection is a clue point as, if errors are detected, their concealment may be performed. However, traditional error detection techniques aren't enough for detection. In this paper, an improved error detection and localization technique is proposed. The...
This paper proposes a novel method for texture segmentation using independent component analysis (ICA) of Gabor features (called ICAG). It has three distinguished aspects: (1) Gabor wavelets transformation first produces distinct textural features characterized by spatial locality, scale and orientation selectivity; (2) principal component analysis (PCA) then reduces the dimensionality of these features...
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