A neural network structure for detecting straight line segments
نویسنده
چکیده
A new method for detecting one-pixel wide vertical, horizontal and diagonal line segments in binary images, is presented. It is based on using four slabs of neural networh, each of which is composed of a set layers. Each layer consists of a number of neurons that is determined by the slab type. The whole image is used as input to each slab, and the infomation processing in each slab occurs in parallel, decreasing, therdore, computation time and allowing hardware implementation. The method was tested with various types of binary images and the obtained results were satisfactory. In a&ition, the method was robust against random noise, such as straight lines impeded in a cloud ofpoints.
منابع مشابه
Prediction of Energy Consumption in the First Line of Tehran Metro: GMDH Neural Network Approach
Today, energy and its consumption are the main strategic plan of organizations and also the development of urban transport systems by considering a variety of economic, scientific, industrial, climate and growing urbanization is essential. Analysis of past trends in energy is the key to predict future trends, with regard to the rate of development of metro, for planning and future-oriented macr...
متن کاملEngineering Application Of Correlation on Ann Estimated Mass
A functional relationship between two variables, applied mass to a weighing platform and estimated mass using Multi-Layer Perceptron Artificial Neural Networks is approximated by a linear function. Linear relationships and correlation rates are obtained which quantitatively verify that the Artificial Neural Network model is functioning satisfactorily. Estimated mass is achieved through recallin...
متن کاملVibration Suppression of Simply Supported Beam under a Moving Mass using On-Line Neural Network Controller
In this paper, model reference neural network structure is used as a controller for vibration suppression of the Euler–Bernoulli beam under the excitation of moving mass travelling along a vibrating path. The non-dimensional equation of motion the beam acted upon by a moving mass is achieved. A Dirac-delta function is used to describe the position of the moving mass along the beam and its iner...
متن کاملProviding a Model for Detecting Tax Fraud Based on the Personality Types of Corporate Financial Managers using the Neural Network Approach
One of the management measures to reduce tax liabilities is non-payment of taxes through tax fraud. Because personality factors may play a role in explaining tax ethics, examining personality traits and aspects of tax fraud can help to better understand the factors that influence tax decisions. The main purpose of this study is to provide a model for detecting tax fraud based on the personality...
متن کاملDetecting Overlapping Communities in Social Networks using Deep Learning
In network analysis, a community is typically considered of as a group of nodes with a great density of edges among themselves and a low density of edges relative to other network parts. Detecting a community structure is important in any network analysis task, especially for revealing patterns between specified nodes. There is a variety of approaches presented in the literature for overlapping...
متن کامل