Crop-edge detection based on machine vision

被引：14

作者：

Lei, Zhang ^{[2
]}

Mao, Wang Shu ^{[1
]}

Qi, Chen Bing ^{[1
]}

Xia, Zhang Hong ^{[1
]}

机构：

[1] China Agr Univ, Coll Engn, Beijing 100083, Peoples R China

[2] Beijing Univ, Beijing Elect Sci & Technol Inst, Beijing 100070, Peoples R China

来源：

NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH | 2007年 / 50卷 / 05期

关键词：

agricultural machine; crop-edge detection; machine vision; Passing a Known Point Hough Transform (PKPHT);

D O I：

10.1080/00288230709510424

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Attached to an agricultural machine, a crop-edge detection system and algorithm based on machine vision was developed in this study. A camera was mounted in front of a tractor and captured crop images during normal field operation. Using the colour and luminance differences of the crop and the cropped area, the position of the crop edge and specific points could be detected. The line of the crop edge was calculated using the Passing a Known Point Hough Transform. The test results show that the method is suitable for a range of different crops and had the key characteristics of fast response times, high accuracy and low sensitivity to stray environmental interferences.

引用

页码：1367 / 1374

页数：8

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