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This paper proposes a hierachical method for traffic sign detection by employing extreme learning machine (ELM) whose infrastructure is a single-hidden-layer feedforward network. This proposed method consists of three modules: Coarse detection module, fine detection module and candidates clustering module. Histogram of oriented gradient (HOG) and color histogram are used as features of signs. This...
In mathematical morphology the tree of shapes of a gray level image is a versatile representation that allows for multiple powerful applications. That structure is highly interesting because it is a self-dual representation invariant by contrast changes and since many authors state that object contours are well described by level lines. Such a representation has not yet been defined (thus used) on...
In order to optimally control the energy flow in the microgrid, consist of several renewable energy sources, including solar photo electric system and storage system, it is essential to know availability of the specific energy source. So, it is necessary to determine the exact moment of the Sun shading the by clouds as well as shadow duration. These parameters could be obtained by cloud movement tracking...
In this work, we propose a light method for the recognition of traffic signs. This new approach involves three steps which are the recognition of the shape of the border, the border color, and recognition of the pictogram. To extract the color, the RGB color representation is used. The method of profile projection (outermost point method) is used to extract the feature vector associated with the border...
This paper describes a method for accurately interpolating a low-resolution depth image using a high-resolution color image. In our method, first, tangent planes on each super pixel are estimated from the sparse depth information and dense color information. Then, the neighboring super pixels that have smooth-connectable tangent planes are connected, and the image segmentation to smooth surfaces are...
3D object recognition is a fundamental research topic. However, shape only feature descriptors for 3D object recognition have been the main focus of research. With the availability of low cost range plus color sensors, color based descriptors have attracted increasing attention lately. In this paper we present novel 3D object recognition algorithms which use not only shape but also color cues. We...
A method to determine whether a pixel is the edge point of a color image is presented. First, according to the characteristic of RGB color space, a color triangle of a pixel is constructed with its color coordinates RGB, and then the perimeter and the internal angle of the color triangle which can be seen as the information value of a pixel is calculated. Last, comparing the value with that in its...
The aim of this paper is to increase the success rate of CBIR system with low computational complexity. The success rate of CBIR system depends on localization of the image to be retrieved. This can be achieved by using textons of R, G, B planes of the image which describes the shape. This paper proposes 3 × 3 grids to extract the textons with low computational complexity. The proposed method is based...
Single-feature-based image retrieval system of content-based video retrieval system has a lower performance. In this paper, a algorithm of image retrieval based on NMI invariable feature of dominant color and texture feature is proposed. The shape information and the spatial distribution of dominant color can be described by the NMI invariable feature of dominant color. so the content feature of image...
An algorithm for fast shot boundary detection based on SVM (Support Vector Machine) is proposed. In this algorithm, smooth intervals inside shots are first eliminated from the original video frame sequence. During this process, a gray variance sequence is extracted and serves as the basis for the detection of smooth intervals. Then a new frame sequence named RFS (Reordered Frame Sequence) is formed...
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