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Cites:

Information Journal Paper

Title

DESIGN AND EVALUATION OF A PATH DETECTION ALGORITHM IN ROAD IMAGES USING HOUGH TRANSFORM

Pages

  85-93

Abstract

 One of the most practical applications of automated navigation systems is the use in automatic steering systems in agricultural vehicles. Throughout the present research, a MACHINE VISION algorithm was designed as based on image acquisition from a camera mounted on the front of a COMBINE HARVESTER cab for detection of its forward path. Following filtration and optimization of the image, HOUGH TRANSFORM was utilized for extracting the path as a line. Then the lateral and angular deviations from the path were obtained as the main inputs for the AUTOMATIC GUIDANCE system of the COMBINE HARVESTER. The algorithm was tested in 7 lateral and 7 angular deviation treatments of three replications. The tests were carried out under different conditions of daylight. A Comparison of the values of angles and deviations extracted from the image processing algorithm with those manually obtained indicates that it is possible to detect the path of the combine, through the algorithm, with an accuracy of 98%.

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    APA: Copy

    MINAEI, SAEID, MAHDAVIAN, ALIREZA, & BANAKAR, AHMAD. (2015). DESIGN AND EVALUATION OF A PATH DETECTION ALGORITHM IN ROAD IMAGES USING HOUGH TRANSFORM. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 46(1), 85-93. SID. https://sid.ir/paper/144309/en

    Vancouver: Copy

    MINAEI SAEID, MAHDAVIAN ALIREZA, BANAKAR AHMAD. DESIGN AND EVALUATION OF A PATH DETECTION ALGORITHM IN ROAD IMAGES USING HOUGH TRANSFORM. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2015;46(1):85-93. Available from: https://sid.ir/paper/144309/en

    IEEE: Copy

    SAEID MINAEI, ALIREZA MAHDAVIAN, and AHMAD BANAKAR, “DESIGN AND EVALUATION OF A PATH DETECTION ALGORITHM IN ROAD IMAGES USING HOUGH TRANSFORM,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 46, no. 1, pp. 85–93, 2015, [Online]. Available: https://sid.ir/paper/144309/en

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