A Structured Image Processing Operation Library to Automatically Isolate Weeds and Crops

Yaqeen Salatneh Ashqer; Marwan Bikdash; Chyi Lyi Kathleen Liang

doi:10.1109/southeastcon42311.2019.9020595

A Structured Image Processing Operation Library to Automatically Isolate Weeds and Crops

Yaqeen Salatneh Ashqer
, Marwan Bikdash
, Chyi Lyi Kathleen Liang

Agribusiness, Applied Economics and Agriscience Education

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We propose a computer-vision framework that isolate parts of the image pertaining to specific weeds and crops using image processing. We developed a structured Image Processing Operation (IPO) library, implemented in JSON format, for efficient representations of the algorithms needed to isolate the desired parts of the image. For each species, a specialized sequence of IPOs, along with their parameters, are obtained. Emphasis is placed on morphological image processing. The IPOs are mostly standard MATLAB functions, but specific and specialized image processing algorithms can be added as needed. We show preliminary success and discuss various aspects and complications.

Original language	English
Title of host publication	2019 IEEE SoutheastCon, SoutheastCon 2019
DOIs	https://doi.org/10.1109/southeastcon42311.2019.9020595
State	Published - 2019

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10.1109/southeastcon42311.2019.9020595

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title = "A Structured Image Processing Operation Library to Automatically Isolate Weeds and Crops",

abstract = "We propose a computer-vision framework that isolate parts of the image pertaining to specific weeds and crops using image processing. We developed a structured Image Processing Operation (IPO) library, implemented in JSON format, for efficient representations of the algorithms needed to isolate the desired parts of the image. For each species, a specialized sequence of IPOs, along with their parameters, are obtained. Emphasis is placed on morphological image processing. The IPOs are mostly standard MATLAB functions, but specific and specialized image processing algorithms can be added as needed. We show preliminary success and discuss various aspects and complications.",

author = "Ashqer, \{Yaqeen Salatneh\} and Marwan Bikdash and Liang, \{Chyi Lyi Kathleen\}",

year = "2019",

doi = "10.1109/southeastcon42311.2019.9020595",

language = "English",

booktitle = "2019 IEEE SoutheastCon, SoutheastCon 2019",

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AU - Ashqer, Yaqeen Salatneh

AU - Bikdash, Marwan

AU - Liang, Chyi Lyi Kathleen

PY - 2019

Y1 - 2019

N2 - We propose a computer-vision framework that isolate parts of the image pertaining to specific weeds and crops using image processing. We developed a structured Image Processing Operation (IPO) library, implemented in JSON format, for efficient representations of the algorithms needed to isolate the desired parts of the image. For each species, a specialized sequence of IPOs, along with their parameters, are obtained. Emphasis is placed on morphological image processing. The IPOs are mostly standard MATLAB functions, but specific and specialized image processing algorithms can be added as needed. We show preliminary success and discuss various aspects and complications.

AB - We propose a computer-vision framework that isolate parts of the image pertaining to specific weeds and crops using image processing. We developed a structured Image Processing Operation (IPO) library, implemented in JSON format, for efficient representations of the algorithms needed to isolate the desired parts of the image. For each species, a specialized sequence of IPOs, along with their parameters, are obtained. Emphasis is placed on morphological image processing. The IPOs are mostly standard MATLAB functions, but specific and specialized image processing algorithms can be added as needed. We show preliminary success and discuss various aspects and complications.

UR - https://dx.doi.org/10.1109/SoutheastCon42311.2019.9020595

U2 - 10.1109/southeastcon42311.2019.9020595

DO - 10.1109/southeastcon42311.2019.9020595

M3 - Conference contribution

BT - 2019 IEEE SoutheastCon, SoutheastCon 2019

ER -

A Structured Image Processing Operation Library to Automatically Isolate Weeds and Crops

Abstract

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