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The analysis of lane detection algorithms using histogram shapes and Hough transform

International Journal of Intelligent Computing and Cybernetics 2015年第3期8卷 262-278页

作者： mahasak ketcham Thittaporn Ganokratanaa Department of Information Technology Management King Mongkut’s University of TechnologyNorth BangkokThailand Department of Media Technology King Mongkut’s University of Technology ThonburiBangkokThailand

Purpose–The purpose of this paper is to develop a lane detection analysis algorithm by Hough transform and histogram shapes,which can effectively detect the lane markers in various lane road conditions,in driving system for ***/methodology/approach–Step 1:receiving image:the developed system is able to acquire images from video *** 2:splitting image:the system analyzes the splitting process of video *** 3:cropping image:specifying the area of interest using crop *** 4:image enhancement:the system conducts the frame to convert RGB color image into grayscale *** 5:converting grayscale image to binary *** 6:segmenting and removing objects:using the opening morphological *** 7:defining the analyzed area within the image using the Hough *** 8:computing Houghline transform:the system operates the defined segment to analyze the Houghline ***–This paper presents the useful solution for lane detection by analyzing histogram shapes and Hough transform algorithms through digital image *** method has tested on video sequences filmed by using a webcam camera to record the road as a video file in a form of *** experimental results show the combination of two algorithms to compare the similarities and differences between histogram and Hough transform algorithm for better lane detection *** performance of the Hough transform is better than the histogram ***/value–This paper proposed two algorithms by comparing the similarities and differences between histogram shapes and Hough transform *** concept of this paper is to analyze between algorithms,provide a process of lane detection and search for the algorithm that has the better lane detection results.

关键词： Image processing Decision making Intelligent transportation Lane detection Driving system Lane departure Histogram shape Hough transform Algorithm Webcam camera Video file

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