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This paper presents a new contrast enhancement method using Histogram Equalization named Dualistc Sub-Image and Non-parametric Modified Histogram Equalization (DSINMHE). Our proposed method consists of three steps: (i) The original image is segmented into two sub-images by the median value of the image. (ii) Then we use the histogram modification technique to maximize entropy and control over enhancement...
This paper presents a new image enhancement method using histogram equalization called Bi-Histogram Equalization with Non-parametric Modified Technology (BHENMT). Our proposed method consists of three steps: (i) The input original histogram is divided into two parts using the Otsu method. (ii) Then the histogram modification technique is used to control over enhancement and maximize entropy. (iii)...
The hazardous materials (Hazmat) transportation routing is of great importance for transport safety. This paper presents a routing approach for Hazmat transportation, namely fuzzy analytic hierarchy process (fuzzy AHP) based on historical traffic data. Firstly, we use historical traffic data to preplan the candidate routes. Then we determine the best route by combining AHP with fuzzy comprehensive...
In the paper, we propose a histogram equalization-based image enhancement method named Brightness Preserving and Contrast Limited Bi-histogram Equalization (BPCLBHE). Our method includes three steps: (i) First, we use the average intensity value of the image to divide the input original image into two sub-images. (ii) Second, the histogram clipping approach is used to control enhancement rate. (iii)...
In this paper, we propose a novel method that can detect fingertips as well as recognize hand gestures. Firstly, we collect the hand curves with a Kinect sensor. Secondly, we detect fingertips based on the discrete curve evolution. Thirdly, we recognize hand gestures using evolved curves partitioned at the detected fingertips. Experimental results show that our method performs well in both fingertips...
The paper proposes a novel image enhancement method based on histogram equalization called Quadrants Histogram Equalization with a Clipping Limit (QHECL). The proposed method consists of four steps: (i) The first step is to compute the median value of the input image, which is used to divide the input histogram into two sub histograms. (ii) We calculate the average brightness value of each sub histogram...
This paper presents a new image enhancement method by histogram equalization called Brightness Preserving and Non-parametric Modified Bi-histogram Equalization (BPNMBHE). Our method consists of three steps: (i) The input original image is divided into two sub images using the average intensity value. (ii) We use the histogram modification technique to maximize entropy and control over enhancement...
Representing shapes in terms of meaningful parts is a fundamental problem in shape analysis and part-based object representation. Decomposition methods typically utilize handcrafted geometric rules in a nondata-driven manner. However, these rules are insufficient to mimic human decomposition behavior, which limits the applications of decomposition in vision tasks. In this paper, we propose a novel...
Barrier coverage is an important issue in wireless sensor networks. When sensors are randomly deployed, barrier gaps may occur if the number of deployed sensors is not large enough or some sensors start malfunctioning or run out of energy. In this paper, we study how to efficiently mend these barrier gaps in a hybrid sensor network which consists of both the stationary and the mobile sensors with...
In this paper, we present a new model to measure the contour point distortion for the vertex-based shape coding with B-splines, called accurate distortion measurement using analytical model (ADMAM). Different from existing distortion measurements containing approximation, quantization or parameterization process, our distortion is defined on the original B-spline. It is modeled as the shortest distance...
Existing operational rate-distortion shape coding aims at finding a polygon which can be encoded with the lowest bit rate under a given upper bound on the edge error. However, this upper bound may cause noticeable errors. Therefore, we add an ℓ2-norm error regularization term to the objective function, and seek the globally optimal solution using a shortest path algorithm for a weighted directed acyclic...
Coverage is an essential and important issue in wireless networks. In this paper, we propose a novel mathematical morphology based antenna deployment scheme for indoor wireless coverage. We partition the whole indoor area into two types of sub-areas, namely, corridor regions and sub-main regions. For these sub-areas, we extract their skeletons, find initial points on these skeletons and place antennas...
In this paper, we present two adaptive edge encoding schemes for the operational rate-distortion optimal polygon-based shape coding. The encoding edge is represented by an octant number, a major component, and a minor component, where the ranges of the two components are determined at two levels. For the object-level, these ranges are either determined by users or adaptive to the contour characteristics...
Spatiogram is a generalization of histogram to capture higher-order spatial moments information. To apply spatiogram to object tracking, suitable similarity measure is critical. Although there is a series of work on introducing improved distance measure over the original method, their performance in object tracking is very limited due to insufficient discriminative power. In this paper, we present...
In this paper, we present a new contour point distortion measurement, called accurate distortion measurement for B-spline-based shape coding (ADMBSC). Different from existing distortion measurements containing approximation, quantization or parameterization, our distortion is defined as the shortest distance from the original B-spline to the associated contour point. This is in line with the subjective-based...
Summary form only given. Existing distortion measurements for the B-spline-based shape coding include ap proximation, quantization, or parameterization process, so they are approximate techniques. They may inaccurately predict the actual distortion value, which motivates us to construct a model that can accurately measure the actual distortion. It was reported that the actual distortion for reconstruction...
Admissible distortion checking algorithm plays a very important role in both rate distortion performance and computational efficiency of B-spline-based operational rate-distortion optimal shape coding framework under the minimum-maximum criterion. Existing distortion measurement using chord-length parameterization (DMCLP) is fast but results in extra bit-rate problem. In contrast, the up to date accurate...
We present two edge encoding schemes, namely 8-sector scheme and 16-sector scheme, for the operational rate-distortion (ORD) optimal shape coding framework. Different from the traditional 8-direction scheme that can only encode edges with angles being an integer multiple of ??/4, our proposals can encode edges with arbitrary angles. We partition the digital coordinate plane into 8 and 16 sectors,...
Approximation metric is a significant factor for subjective quality improvement of polygonal vertex-based shape codec. Usually this metric is defined by absolute distance measure (ADM). ADM only considers the shortest absolute distance from candidate vertices on the original object contour segment to corresponding approximating line segment and ignores other visual characteristics of the contour segment...
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