Identification and separation of micropropagated sugarcane shoots based on the Hough transform

Z. Wang; P. H. Heinemann; H. J. Sommer; P. N. Walker; C. T. Morrow; C. Heuser

Identification and separation of micropropagated sugarcane shoots based on the Hough transform

Z. Wang, P. H. Heinemann, H. J. Sommer, P. N. Walker, C. T. Morrow, C. Heuser

Research output: Contribution to journal › Conference article › peer-review

Abstract

A Hough transform-based computer algorithm was developed to extract shoot stems as straight lines in a micropropagated Stage 2 sugarcane shoot clump image. Compared with the shoot identification algorithms developed in previous research, this algorithm had a higher shoot identification ratio and was more robust to noise in the image. The algorithm was tested on a vision-guided micropropagated Stage 2 sugarcane shoot separation mechanism. With the Hough transform-based shoot identification algorithm, a real time shoot separation method was presented. Tests showed that more than 80% of the shoots were separated and transplanted successfully by the mechanism.

Original language	English (US)
Journal	Paper - American Society of Agricultural Engineers
Volume	1
State	Published - 1997
Event	Proceedings of the 1997 ASAE Annual International Meeting. Part 1 (of 3) - Minneapolis, MN, USA Duration: Aug 10 1997 → Aug 14 1997

All Science Journal Classification (ASJC) codes

Agricultural and Biological Sciences (miscellaneous)

Cite this

@article{de56e8980fa540af8f3c14a7a6f7fcac,

title = "Identification and separation of micropropagated sugarcane shoots based on the Hough transform",

abstract = "A Hough transform-based computer algorithm was developed to extract shoot stems as straight lines in a micropropagated Stage 2 sugarcane shoot clump image. Compared with the shoot identification algorithms developed in previous research, this algorithm had a higher shoot identification ratio and was more robust to noise in the image. The algorithm was tested on a vision-guided micropropagated Stage 2 sugarcane shoot separation mechanism. With the Hough transform-based shoot identification algorithm, a real time shoot separation method was presented. Tests showed that more than 80% of the shoots were separated and transplanted successfully by the mechanism.",

author = "Z. Wang and Heinemann, {P. H.} and Sommer, {H. J.} and Walker, {P. N.} and Morrow, {C. T.} and C. Heuser",

year = "1997",

language = "English (US)",

volume = "1",

journal = "Paper - American Society of Agricultural Engineers",

issn = "0145-0166",

note = "Proceedings of the 1997 ASAE Annual International Meeting. Part 1 (of 3) ; Conference date: 10-08-1997 Through 14-08-1997",

}

TY - JOUR

T1 - Identification and separation of micropropagated sugarcane shoots based on the Hough transform

AU - Wang, Z.

AU - Heinemann, P. H.

AU - Sommer, H. J.

AU - Walker, P. N.

AU - Morrow, C. T.

AU - Heuser, C.

PY - 1997

Y1 - 1997

N2 - A Hough transform-based computer algorithm was developed to extract shoot stems as straight lines in a micropropagated Stage 2 sugarcane shoot clump image. Compared with the shoot identification algorithms developed in previous research, this algorithm had a higher shoot identification ratio and was more robust to noise in the image. The algorithm was tested on a vision-guided micropropagated Stage 2 sugarcane shoot separation mechanism. With the Hough transform-based shoot identification algorithm, a real time shoot separation method was presented. Tests showed that more than 80% of the shoots were separated and transplanted successfully by the mechanism.

AB - A Hough transform-based computer algorithm was developed to extract shoot stems as straight lines in a micropropagated Stage 2 sugarcane shoot clump image. Compared with the shoot identification algorithms developed in previous research, this algorithm had a higher shoot identification ratio and was more robust to noise in the image. The algorithm was tested on a vision-guided micropropagated Stage 2 sugarcane shoot separation mechanism. With the Hough transform-based shoot identification algorithm, a real time shoot separation method was presented. Tests showed that more than 80% of the shoots were separated and transplanted successfully by the mechanism.

UR - http://www.scopus.com/inward/record.url?scp=0031388574&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031388574&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0031388574

SN - 0145-0166

VL - 1

JO - Paper - American Society of Agricultural Engineers

JF - Paper - American Society of Agricultural Engineers

T2 - Proceedings of the 1997 ASAE Annual International Meeting. Part 1 (of 3)

Y2 - 10 August 1997 through 14 August 1997

ER -

Identification and separation of micropropagated sugarcane shoots based on the Hough transform

Abstract

All Science Journal Classification (ASJC) codes

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