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Detecting clusters in the encounter graphs generated from reality mining data is one way of detecting the social and spatial relationships of participants. However, many of the existing clustering algorithms do not factor in the time since encounters, and can only be used to describe a single aggregated snapshot of the data. This paper describes a spatio-temporal clustering technique which has been...
This paper presents a novel anisotropic diffusion (AD) filter for despeckling of ultrasound images using a non-linear conductance function. Proper choice of the conductance function while applying AD filters is extremely critical. This work proposes an improved conductance function that tends to suppress speckle with due preservation of diagnostic features. The diffusion coefficient of the AD filter...
In this paper, we propose a flow propagation algorithm (FlowPro) that finds the community of a node in a complex network. The novelty of the proposed approach is the fact that FlowPro is local and it does not require the knowledge of the entire graph as most of the existing methods from literature. This makes possible the application of FlowPro in extremely large graphs or in cases where the entire...
Catadioptric omnidirectional view sensor has a convenient 360 degree field of view that favours various robotic applications. The distortion nature in omnidirectional view images allows the discovery of a new robust image feature in the form of vertical/central propagating lines. In this paper, we proposed an improvement to the existing vertical line detection algorithm using Haar wavelet transform...
Direct Device-to-Device (D2D) communications in cellular systems has attracted a lot of interest for both commercial and public safety applications. To support D2D communications, a first step involving neighbor discovery is typically needed. This paper focuses on the study of neighbor discovery signal design aspects and interference management for D2D discovery under a typical LTE system deployment...
Edge detection plays an important role in many advanced robot applications. Sometimes the boundaries of objects should be extracted. This paper proposes an edge detection algorithm that combining both color and depth data. Firstly, the Canny operator is applied to the color and depth image to extract initial edges. Then the color-edges are optimized using depth information to eliminate non-boundary...
An edge is a set of connected pixels lying on the boundary between two regions that differ in pixel intensity. Accordingly, several gradient-based edge detectors have been developed that are based on measuring local changes in gray-value; a pixel is declared to be an edge pixel if the change is significant. However, the minimum value of intensity change that may be considered to be significant remains...
Fingertips of human hand play an important role in hand-based interaction with computers. Therefore, identification of fingertips' positions on hand image is vital for developing a human computer interaction system. All most all of the research works for fingertips detection, initially isolate hand image from the background image. Most of these techniques develop color based segmentation methods because...
The high computational complexity and great memory requirement prevent the SIFT algorithm from being processed realtimely. The block-parallel SIFT algorithm with boundary extension adopted by existing researches suffers from redundant storages or extra communications to process the boundaries of partitions. The block-parallel SIFT algorithm without boundary extension (pSIFT-noBE) can spontaneously...
In this paper, we propose a new approach to detect hand-waving motion in crowds. Different from previous approaches which are often based on segmentation and motion detection, our method can be seen as a complexity reduction process from the problem of 3D motion detection to 2D object detection. Through arranging the same row of per video frame along the time sequence, we obtain 2D images composed...
Red Blood Corpuscles are one of the most vital cellular components of human circulatory system. In normal physiological condition, an RBC is circular in front view and biconcave in side view. Also it is 7.5 Itm in diameter and 2 μm in thickness in terms of size. The normal morphology of an RBC undergoes some specific changes due to the consequence of different pathological abnormalities. One of such...
The task of removing rain is of great significance for outdoor vision systems such as video surveillance, vision based navigation and so on. Rain produces complex time varying intensity fluctuations in images or videos, which seriously reduce the performance of outdoor vision systems. Due to similar visual appearances of rain and moving objects, the current rain removal algorithms cannot easily distinguish...
In this paper we proposed a new framework for obtaining the spongy and cortical bones from the MRI data. The method focuses on the accurate extraction of the edges of the target tissues, which is the main drawback of the previous works. This framework first limits the searching area for the bone voxels from the whole data to a small strip around the edges of the cortical and spongy bones then applies...
This work is concerned with solving non-convex power optimization problems by introducing the concept of “nonlinear optimization over graph”. To this end, the structure of a given nonlinear real/complex optimization with quadratic arguments is mapped into a generalized weighted graph, where each edge is associated with a weight set constructed from the known parameters of the optimization (e.g., the...
Video text often contains highly useful semantic information, the analysis of which can to a great extent facilitate video retrieving and understanding. In this paper, a novel method has been proposed to detect video text. Text character strokes display dense edge features in both horizontal and vertical directions. Therefore the authors create a text edge map on the basis of the Kirsch operators...
Road conditions can provide important information for driving safety in driving assistance system. The input images usually include unnecessary information and road conditions need to be analyzed only in a region of interest (ROI) to reduce the amount of computation. In this paper, a vision-based road ROI determination algorithm is proposed to detect the road region using the positional information...
Sketch is used for rendering the visual world since prehistoric times, and has become ubiquitous nowadays with the increasing availability of touchscreens on portable devices. However, how to automatically map images to sketches, a problem that has profound implications on applications such as sketch-based image retrieval, still remains open. In this paper, we propose a novel method that draws a sketch...
Quartz wafer inevitably produces various physical defects in the production process. This paper focuses on the quartz wafer dirt defects, and proposes a way for image processing on the quartz wafer by using of computer vision library OpenCV. The proposed method is to find contours of the processed images to judge whether there is dirt or not. Experiments show that this method can well detect the dirt...
In this paper, we present a technique to recognize books from library bookshelf images. The proposed technique includes several modules such as — noise removal, bookshelf row detection and book detection and extraction from bookshelf. Firstly, the image is filtered for noise removal and edges are detected. The proposed technique counts the number of pixels of every candidate for horizontal lines on...
The identification of shadow and shading boundaries is a key step towards reducing the imaging effects that are caused by direct illumination of the light source in the scene. Discriminating shadow boundaries from images of natural scenes has been widely applied in the field of computer vision such as object recognition, intelligent monitoring and image understanding. In this paper, we propose a method...
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