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This paper presents a recursive method for extracting planar surfaces from noisy range data. The method first transforms the range image into a so-called Enhanced Range Image (ERI) that encodes the local geometric information (surface normals) and global spatial information (coordinates) of the 3D range data. The ERI is then clustered into a number of homogenous groups called Super-Pixels (SPs). By...
In order to construct the city three dimensional (3D) building model, building contours must be extracted in fast and accurately. Traditional engineering survey and photogrammetry method is low efficient to do this. The Light Detect and Ranging (LiDAR), so called Airborne Laser Scanning, works on the same principle as radar except using light waves instead of radio waves. It can measure distance and...
The current extracting approach to the target tissue of medical image has the problem of extracting speed. This paper presented a method of extracting the interesting area rapidly from the medical image file. Firstly, by combining run-length coding with block coding, the new coding could extract the medical image data rapidly, which not only saved the memory space and improved transmission efficiency,...
True orthophoto has been widely used in various urban applications. However, building boundaries are difficult to be precisely located in the generation of true orthophotos. This paper proposed an improvement method for true orthophoto generation by using 3D line segments of building boundaries. 3D boundary lines are extracted by fusing airborne LiDAR data and imagery. Using the 2D edge's nodes of...
This paper deals with the uses of the Earth Mover's Distance for local evaluation of fusion system. Local evaluation is an interesting way to better characterize the system behavior and consequently to have information on which subpart needs to be adjusted. The definition of the subpart mission and its measurement are two key points in this problematic. This paper shows that the use of the Earth Mover's...
This paper presents a new method for extracting planar features from noisy range data. The method encodes the local geometric information (surface normals) and global spatial information (coordinates) of 3D data points into an Enhanced Range Image (ERI) which is then clustered into a number of homogeneous groups, called Super Pixels (SPs). The Normalized Cuts (NC) method is employed to the graph built...
Segmenting range data into semantic categories has become a more and more active field of research in robotics. In this paper, we advocate to view this task as a problem of fast, large-scale retrieval. Intuitively, given a dataset of millions of labeled scan points and their neighborhoods, we simply search for similar points in the datasets and use the labels of the retrieved ones to predict the labels...
From the viewpoint of “UBEN-EKI,” we have developed an inconvenient input method for mobile devices, which provides us with chances of exploration. In the proposed mobile device, users provide a large number of motions to systems, which should be learnt. In this paper, we constitute evolutionary algorithms to automatically extract frequently-observed motions from whole the motion sequence.
This paper proposes an approach for 2D-to-3D conversion for multiview displays. It employs an object-based approach where objects at large depth differences are first segmented by semi-automatic tools. Appropriate depth values are assigned to these objects and the missing image pixels at the background are filled in by inpainting techniques so that different views of the image can be synthesized....
The first step for computer-aided diagnosis for liver of CT scans is the identification of liver region. To deal with multislice CT scans, automatic liver segmentation is required. In this paper, we propose a liver segmentation algorithm using hybrid techniques by combining morphological-based, region-based and histogram-based techniques to segment volumetric CT data. A morphological-based technique...
In this paper, we present a key point recognition scheme, which consists of a novel feature detector and an efficient descriptor. Inspired by FAST (features from accelerated segment test), our feature detector is easy to compute and has high repeatability. Scale-invariance and optimized robustness are gained by extending traditional FAST to scale space.We combine this detector with an adapted version...
Processing of three-dimensional image data for quality enhancement, segmentation and analysis is a challenging proposition due to the enormity of the underlying data content as well due to the inadequacy of data description standards. Extraction of objects from 3-dimensional image information is no exception. In this article, a novel three-dimensional neural network architecture is presented for faithful...
Recently many applications require an automatic processing of massive unstructured 3D point clouds in order to extract planar surfaces of man-made objects. While segmentation is the essential step in feature extracting process, but bad-segmentation results (i.e. under and over-segmentation) are still standing as a big obstacle to extract planar surfaces with best fit reality. In this paper, we propose...
This paper presents an implementation of detecting and recognizing typical obstacles with laser range finders. Mounting the laser range finder with a pitch angle on top of the robot, we can obtain the height information of the obstacle. Techniques, such as clustering, line segment extraction, coordinate transformation, line segment matching, are then applied on the scan data analyzing to detect and...
For the purpose of color image segmentation, an unsupervised peak value searching algorithm was proposed, which was used to determine the approximate dominant color components of image. First, the local peaks of 3D color histogram within the neighborhood of 3 times 3 times 3 were located. The corresponding color values of local peaks were regarded as initial clustering centers, and the number of local...
A new method for visualisation and segmentation of vessel structures in 3D magnetic resonance angiography (MRA) images is presented. This method uses a simple statistical model of the information stored along parallel rays within the data set to derive a 2D projection image. Although similar to the maximum image projection (MIP) method, the new method uses a single parameter to achieve a higher contrast-to-noise...
We present a stereo matching method of 2D line segments for the detection of 3D line segment. Stereo line matching is a difficult task, since it relies on incomplete 2D line data. The proposed matching method is based on geometric and intensity information of 2D line segment. A set of line attributes is used to match a pair of 2D lines. Line attributes consist of intensity information and geometric...
Many medical image segmentation techniques have been proposed by lots of authors but they are mainly dedicated to particular solutions. There is no generic method for solving the image segmentation problem. The difficulty comes from that two types of noise are presented in medical images: physical noise due to the acquisition system, for example, Optical, X-rays and MRI, and physiological noise due...
Extracting hepatic vasculature from three dimensional imagery is important for diagnosis of liver disease and planning of liver surgery. In this paper we propose a method for generation of 3D skeletal graph of liver vessels using thinning algorithm and graph theory. First of all, basic methodology in the proposed method is introduced. Secondly, the skeletonization method together with a pre-processing...
The segmentation of brain tissue from non-brain tissue in magnetic resonance (MR) images, commonly referred to as skull stripping, is an important image processing step in many neuroimage studies. In this paper, we propose a fast automatic skull-stripping method. The proposed method is based on an adaptive gauss mixture model and a 3D Mathematical Morphology method. The adaptive gauss mixture model...
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