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A new segmentation method is proposed for high resolution remote sensing image. In the high-resolution remote sensing image, there is mass of data to be processed, and land objects exhibits strongly hierarchical and multiscale characters. In order to overcome the disadvantages of pixel-based hierarchical MRF model directly used on high-resolution remote sensed images, a hierarchically multiscale object-oriented...
In the pixel based multiscale Markov random field(MRF) model, a sequence of MRF was hierarchically defined on the multiple spatial resolutions which might suffer from the deficiency of modeling the large range of interaction. In order to overcome such a problem, we attempt to introduce the region based multiscale MRF model, in which hierarchical MRF model is defined over multiresolution image segmented...
Computer Aided Diagnosis (CAD) system provides medical assistance by scanning digital images from computer tomography (CT) for suspicious masses and highlights the noticeable segments like presence of tumours, neural blockage etc. This paper, presents a scheme to improve the efficiency of existing CAD systems by proposing a feature extraction model which is carried out in two phases. First phase carries...
Target recognition is of great importance for information extraction from high resolution remote sensing image. As an important kind of man-made objects, ship recognition is a key point to many applications, such as vessel monitoring and marine traffic. As spatial relationship is invariant to topology change, a method of ship recognition from high resolution remote sensing imagery aided by spatial...
In order to extract the regular interference contained in the multibeam echosounding and eliminate random noise, the novel Envelope Locally Weighted Best Estimation (ELWBE) and the improved NLMF (X-metric non local-mean filter, X-NLMF) methods are proposed. The experimental results show that ELWBE and X-NLMF can not only eliminate the random noise but also give the local optimal estimation on preserving...
In this paper, we propose a region-based MRF model with optimized initial regions (RMRF-OIR) for image segmentation. In the RMRF-OIR, a modified mean shift is introduced to get the optimized initial over segmented regions. Then, a region-based MRF is used to model these initial regions on the region adjacency graph. Finally, the segmentation results will be obtained by using a region merging scheme...
A new method is presented for the extraction buildings in rural area from light detection and ranging (LIDAR) normalized digital surface model (nDSM) on the basis of quadtree segmentation principles. Compared with aerophotograph, LIDAR generally provides more accurate height information but less accurate boundary lines. In our method the two data sources are integrated for building boundary extraction...
In this paper, we propose a road sign detection and recognition algorithm for an embedded application, which requires computationally simple but accurate algorithms. The algorithm is developed by using the Hue Saturation Intensity (HSI) color space to segment the road signs color (red, yellow, blue and white) and the regions of interest (ROI) in order to locate and determine the shape of the road...
This contribution deals with the testing and selection of methods and algorithms for the automatic video image (or visual signal) segmentation. The aim of this work has been to select a reliable and fast method for visual signal segmentation, which can be used in the system for audio-visual automatic TV broadcast transcription.
The detection effect of the infrared gait image is not good by using traditional detecting methods based on the visible light mode because of its larger noise, blurrier edge and lower contrast. Therefore, a new algorithm of infrared gait detection based on chaos ant colony optimization and space-time combination is proposed. It uses background subtraction method based on temporal domain segmentation...
An improved image segmentation algorithm based on support vector machines was proposed, which belonged to hybrid segmentation techniques. Considering image segmentation based on support vector machines required the user to provide the training data, an automatic data providing method was proposed to obtain training data used by support vector machines instead of directly taking some pieces of the...
The goal of image segmentation is to cluster pixels into salient image regions, it is the most significant step in image analysis. Thresholding is a simple but effective tool to separate objects from the background, which is one of the most popular algorithms. The artificial bee colony algorithm (ABC) is a recently presented meta-heuristic algorithm, which has been successfully applied to solve many...
In this paper, a novel robust markerless image processing system capable of extracting gait features which can be used for gait analysis is presented. The presented system can deal with images of persons captured in natural indoor scenes. The system's robustness against external influences and different person appearance is achieved by employing the idea of improving the image processing robustness...
Under the harsh environment of high dust, high humidity and low illumination level in the coal mine, a non-contact optical electricity measurement method for depth estimation of coal silo was proposed and distance measurement equipment based on structured light was designed. The imaging points of laser spot were determined by use of image segmentation method, and then depth value for all kinds of...
In collision warning systems for automotive applications the response time of a system is very important, since a precise response is useless if it comes too late. In this paper a fast collision warning system is presented, which uses a stereo camera as a sensor. The used algorithms allow a fast response of the system by making use of parallel processing. The parallel processing algorithms have been...
In order to quickly and accurately detect microaneurysms of diabetic retinopathy images, a specific method is proposed in this paper, which eliminates useless information based on overall threshold, computes the set of overall connection domain, and precisely orientates microaneurysms by local threshold segmentation and local connection domain identification. Experimental results testify the good...
For natural image segmentation, due to features from a single image are hard to describe the complex scene information, this paper presents a new method based on the fusion model evaluation index PRI to fuse color histogram features in 3 color spaces, RGB, XYZ, LUV, and texture features. We experiment on images from Berkeley segmentation databases and compare the quantitative and qualitative experimental...
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