An improved plant identification system by Fuzzy c-means bag of
visual words model and sparse coding

QR Code

An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding

Current work adopts the Fuzzy c-means Bag of Visual Words model and sparse coding for plant identification. Plant identification has become a significant research area in the botany field in recent years. SIFT features are distinctive invariant features based on scale-space because of the situation...

Full description

Bibliographic Details
Main Authors:	Safa, Soodabeh, Khalid, Fatimah
Format:	Article
Language:	English
Published:	World Academy of Science Engineering and Technology 2020
Online Access:	http://psasir.upm.edu.my/id/eprint/87837/ http://psasir.upm.edu.my/id/eprint/87837/1/ABSTRACT.pdf

Similar Items

Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
by: Safa, Soodabeh
Published: (2016)

Sparse Subspace Clustering via Group Sparse Coding
by: Budhaditya, S., et al.
Published: (2013)

MRI Human Brain Segmentation / Classification Using Bayesian Techniques
by: Safa, Soodabeh
Published: (2010)

Enhancing an evolving tree-based text document visualization model with fuzzy c-means clustering
by: Wui, Lee Chang, et al.
Published: (2013)

A Salient Based Bag of Visual Word model (SBBoVW): improvements toward difficult object recognition and object location in image retrieval
by: Mansourian, Leila, et al.
Published: (2016)

Sparse representations of image gradient orientations for visual recognition and tracking
by: Tzimiropoulos, Georgios, et al.
Published: (2011)

Identification Of Pakistani Truck Visuals And Construction Of Their Meanings Through The Visual Rhetoric Approach
by: Zahra, Fatima
Published: (2020)

Image Reconstruction via Manifold Constrained Convolutional Sparse Coding for Image Sets
by: Yang, L., et al.
Published: (2017)

An effective fuzzy C-mean and type-2 fuzzy logic for weather forecasting.
by: Shahi, Ahmad, et al.
Published: (2009)

Efficient sparse matrix-vector multiplication for geophysical electromagnetic codes on Xeon Phi coprocessors
by: Bernabeu, S., et al.
Published: (2015)

K-means clustering and visualizing of significant words prototype for crowdsourced relationship comments / Muhammad Syafiq Mastor
by: Mastor, Muhammad Syafiq
Published: (2015)

Improved Fast Fuzzy C-Means Algorithm for Medical MR Images Segmentation
by: Li, Min, et al.
Published: (2008)

Improved fast fuzzy C-mean and its application in medical image segmentation
by: Balafar, Mohammad Ali, et al.
Published: (2010)

Automatic Speaker Recognition System Using Fuzzy C-Means Artificial Neural Networks
by: M. Z., Ibrahim, et al.
Published: (2008)

Comparison of 3S multi-thresolding with fuzzy c-means method
by: Mortazavi, Daryoush, et al.
Published: (2009)

Integrating genetic algorithms and fuzzy c-means for anomaly detection
by: Chimphlee, Witcha, et al.
Published: (2005)

Bio Acoustic Signal Identification Based On Sparse Representation Classifier Frog Species Voice Identification
by: Wan, Zhi Xuan
Published: (2018)

A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks
by: , Abdul Wahid, et al.
Published: (2019)

Word meaning in Arabic from an Islamic perspective
by: Hj. Yaakub, Muhamadul Bakir
Published: (2003)

Integrating type-2 fuzzy logic system with fuzzy C-means clustering for weather prediction
by: Soozaei, Ahmad Shahi
Published: (2011)

Improvisation of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
by: Ramly, Nurfarawahida
Published: (2018)

Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference
by: Ding, Z., et al.
Published: (2019)

Enhanced cross-well seismic inversion by fuzzy c-means clustering
by: Kieu, D., et al.
Published: (2019)

Image Segmentation With Cyclic Load Balanced Parallel Fuzzy C - Means.
by: Vadiveloo, Mogana
Published: (2010)

On the sparse beamformer design
by: Gao, M., et al.
Published: (2018)

Identification of Minor Structural Damage Based on Electromechanical Impedance Sensitivity and Sparse Regularization
by: Fan, X., et al.
Published: (2018)

Automatic clustering of generalized regression neural network by similarity index based fuzzy c-means clustering
by: Husain, Hafizah, et al.
Published: (2004)

Utilization of banana (musa paradisiaca) peel as bioplastic for planting bag application
by: Huzaisham, Nur Athirah, et al.
Published: (2020)

An exploration of improvements to semi-supervised fuzzy c-means clustering for real-world biomedical data
by: Lai, Daphne Teck Ching
Published: (2014)

An improved imputation method based on fuzzy c-means and particle swarm optimization for missing data
by: Samat, Nurul Ashikin
Published: (2017)

Another perspective in generating and using gray code word
by: Ahmad, Anita
Published: (2007)

Word meanings in oral and written psychiatrist-patient communication
by: Koudria, Svetlana, et al.
Published: (2019)

Identification of the continuous-time Hammerstein models with sparse measurement data using improved marine predators algorithm
by: Mohd Zaidi, Mohd Tumari, et al.
Published: (2024)

On using genetic algorithm for initialising semi-supervised fuzzy c-means clustering
by: Lai, Daphne Teck Ching, et al.
Published: (2016)

Fuzzy C-means-based scenario bundling for stochastic service network design
by: Jiang, Xiaoping, et al.
Published: (2017)

Fuzzy C mean clustering in off-line handwriting signature verfication system
by: Lee, Beng Yong
Published: (2006)

Optimalisation of a job scheduler in the grid environment by using fuzzy C-mean
by: Lorpunmanee, Siriluck, et al.
Published: (2007)

Anomaly detection of intrusion based on integration of rough sets and fuzzy c-means
by: Chimphlee, Witcha, et al.
Published: (2005)

The role of orthography and visual form on word recognition
by: Kelly, Andrew N.
Published: (2016)

Deep word embeddings for visual speech recognition
by: Stafylakis, Themos, et al.
Published: (2018)