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Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting moving objects provides a focus of attention for recognition, classification, and activity analysis, making these later steps more efficient...
A method to locate the axis of radio frequency ablation electrode(RFAE) in 3D Ultrasound(US) image is presented based on 3D phase-grouping in this paper. Firstly, all voxels in 3D US images are categorized into different groups which are called Line Support Region(LSR) according to the outer products of adjacent orientation vectors. And then, the RFAE axis is extracted with 3D Randomized Hough transform...
This paper proposes an automatic video object segmentation with opacity estimate to obtain good alpha mattes and the foreground objects. In the proposed method, the trimap is automatically generated from the result obtained using video object segmentation based on motion information without background construction. Next, closed-form matting is used with the automatically generated trimaps to yield...
Several widely used fusion methods may not be satisfactory to merge a high-resolution panchromatic image and low-resolution multi-spectral images because they can distort the spectral characteristics of the multi-spectral image or worsen the spatial resolution of the panchromatic image. In this paper, a fusion algorithm for multi-spectral and panchromatic images based on region correlation coefficient...
In this paper, we propose a method of face detection based on feature analysis and edge detection against skin color-like backgrounds. The proposed method consists of three phases including image preprocessing, skin color segmentation, and determination of face candidates. First, the objects in foreground are separated by image preprocessing. Second, the non-skin color objects are rejected by the...
In this paper, we manage to use the clustering method realize sonar image segmentation. A particle swarm optimization (PSO) based FCM algorithm (PSO-FCM) is proposed which PSO incorporate with Fuzzy Clustering Method(FCM). The algorithm takes the clustering result of PSO as the initialization of the FCM, and uses fuzzy measures and fuzzy integrals to express the adapt function. At last, the algorithm...
An obstacle system based on visual selective feature and stereo vision is stated in this paper. By extracting feature vectors with color, intensity and direction, the corresponding saliency map is constructed. Then, obstacle area is figured out through threshold segmentation to the saliency map, and 3-D information of the obstacles is computed by using stereo vision. Finally, obstacle information...
Designing and developing automatic techniques for magnetic resonance images (MR) for data analysis is very challenging. One popular and public available method, FAST (FMRIB Automatic Segmentation Tool) has been widely used for automatic brain tissue segmentation for this purpose. This paper investigates limitations of this software algorithm on implementation and further develops a new approach to...
This paper presents a novel data-hiding scheme based on side-match vector quantization (SMVQ). While encoding a block of an image, a traditional SMVQ data-hiding scheme only considers the neighboring pixels of the block to be encoded to produce a state codebook, and then uses the index of the closest codeword in the state codebook to represent the block. The major problem of the traditional image...
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