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 › Article › peer-review

Abstract

A Hough transform-based computer algorithm was developed to identify sugarcane shoots as straight lines in a micropropagated Stage 2 sugarcane shoot clump image. An arc-based shoot identification method developed previously was tested after changing the lighting from fluorescent to incandescent which improved contrast between stems and leaves. This method was then compared to the Hough transform method. The Hough transform algorithm correctly identified 93% of total shoots versus 82% for the arc method, missed 7% of the shoots versus 18% for the arc method, and improperly identified non-shoots as shoots 6% of the time versus 7% for the arc method.

Original language	English (US)
Pages (from-to)	1535-1541
Number of pages	7
Journal	Transactions of the American Society of Agricultural Engineers
Volume	41
Issue number	5
State	Published - Sep 1998

All Science Journal Classification (ASJC) codes

Agricultural and Biological Sciences (miscellaneous)

Cite this

@article{b812a515a82a46c3bb0a9c6be95c3047,

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

abstract = "A Hough transform-based computer algorithm was developed to identify sugarcane shoots as straight lines in a micropropagated Stage 2 sugarcane shoot clump image. An arc-based shoot identification method developed previously was tested after changing the lighting from fluorescent to incandescent which improved contrast between stems and leaves. This method was then compared to the Hough transform method. The Hough transform algorithm correctly identified 93% of total shoots versus 82% for the arc method, missed 7% of the shoots versus 18% for the arc method, and improperly identified non-shoots as shoots 6% of the time versus 7% for the arc method.",

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

year = "1998",

month = sep,

language = "English (US)",

volume = "41",

pages = "1535--1541",

journal = "Transactions of the American Society of Agricultural Engineers",

issn = "0001-2351",

publisher = "American Society of Agricultural and Biological Engineers",

number = "5",

}

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 - 1998/9

Y1 - 1998/9

N2 - A Hough transform-based computer algorithm was developed to identify sugarcane shoots as straight lines in a micropropagated Stage 2 sugarcane shoot clump image. An arc-based shoot identification method developed previously was tested after changing the lighting from fluorescent to incandescent which improved contrast between stems and leaves. This method was then compared to the Hough transform method. The Hough transform algorithm correctly identified 93% of total shoots versus 82% for the arc method, missed 7% of the shoots versus 18% for the arc method, and improperly identified non-shoots as shoots 6% of the time versus 7% for the arc method.

AB - A Hough transform-based computer algorithm was developed to identify sugarcane shoots as straight lines in a micropropagated Stage 2 sugarcane shoot clump image. An arc-based shoot identification method developed previously was tested after changing the lighting from fluorescent to incandescent which improved contrast between stems and leaves. This method was then compared to the Hough transform method. The Hough transform algorithm correctly identified 93% of total shoots versus 82% for the arc method, missed 7% of the shoots versus 18% for the arc method, and improperly identified non-shoots as shoots 6% of the time versus 7% for the arc method.

UR - http://www.scopus.com/inward/record.url?scp=0032170607&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032170607&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0032170607

SN - 0001-2351

VL - 41

SP - 1535

EP - 1541

JO - Transactions of the American Society of Agricultural Engineers

JF - Transactions of the American Society of Agricultural Engineers

IS - 5

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

Other files and links

Fingerprint

Cite this