[PDF][PDF] Plant leaves image segmentation techniques: a review

SS Lomte, AP Janwale - Artic Int J Comput Sci Eng, 2017 - researchgate.net
Revised: 23/Apr/2017, Accepted: 23/May/2017, Published: 30/May/2017 Abstract:-
Segmentation is the process of dividing a digital image into number of parts of interest. The …

[Retracted] Deep Learning‐Based Leaf Region Segmentation Using High‐Resolution Super HAD CCD and ISOCELL GW1 Sensors

S Talasila, K Rawal, G Sethi - Journal of Sensors, 2023 - Wiley Online Library
Super HAD CCD and ISOCELL GW1 imaging sensors are used for capturing images in high‐
resolution cameras nowadays. These high‐resolution camera sensors were used in this …

PLRSNet: a semantic segmentation network for segmenting plant leaf region under complex background

S Talasila, K Rawal, G Sethi - International Journal of Intelligent …, 2023 - emerald.com
Purpose Extraction of leaf region from the plant leaf images is a prerequisite process for
species recognition, disease detection and classification and so on, which are required for …

Plant leaf detection and counting in a greenhouse during day and nighttime using a Raspberry Pi NoIR camera

A Soetedjo, E Hendriarianti - Sensors, 2021 - mdpi.com
A non-destructive method using machine vision is an effective way to monitor plant growth.
However, due to the lighting changes and complicated backgrounds in outdoor …

A mobile application for leaf detection in complex background using saliency maps

L Putzu, C Di Ruberto, G Fenu - … , ACIVS 2016, Lecce, Italy, October 24-27 …, 2016 - Springer
Plants are fundamental for human beings, so it's very important to catalogue and preserve
all the plants species. Identifying an unknown plant species is not a simple task. The leaf …

Robust random walk for leaf segmentation

J Hu, Z Chen, R Zhang, M Yang… - IET Image Processing, 2020 - Wiley Online Library
In this study, the authors focus on the task of leaf segmentation under different imaging
conditions (eg backgrounds and shadows). A new method‐robust random walk (RW) is …

Flexible mixture models for colour image segmentation of natural images

T Wilhelm, C Wohler - 2016 International Conference on Digital …, 2016 - ieeexplore.ieee.org
This work proposes a way to increase the flexibility of mixture models for clustering
applications. The focus of this paper resides at the segmentation of natural images, as one …

Visual Object Classification Using Computer Vision Techniques

L Hamrouni - dspace.univ-ouargla.dz
Due to the increasing importance of agriculture as a sector in general and the role of plants
in human life in particular, humans have placed a high value on it as an object. Plants are …

Computer Vision Techniques for Ambient Intelligence Applications

S Buoncompagni - 2016 - amsdottorato.unibo.it
Ambient Intelligence (AmI) is a muldisciplinary area which refers to environments that are
sensitive and responsive to the presence of people and objects. The rapid progress of …