Tree recognition based on leaf images
T Iwata, T Saitoh - The SICE Annual Conference 2013, 2013 - ieeexplore.ieee.org
This paper addresses an image-based tree recognition method using shape features and
color features of leaf images. Our method requires two leaf images including a front leaf …
color features of leaf images. Our method requires two leaf images including a front leaf …
Cluster based approaches for keyframe selection in natural flower videos
The selection of representative keyframes from a natural flower video is an important task in
archival and retrieval of flower videos. In this paper, we propose an algorithmic model for …
archival and retrieval of flower videos. In this paper, we propose an algorithmic model for …
A CNN-Based Framework for Detection and Recognition of Objects Using Transfer Learning: A Case Study on Flower Recognition
S Tiwari, V Sharma, YS Rathore… - 2023 1st DMIHER …, 2023 - ieeexplore.ieee.org
The vast variety of floral species present on Earth poses a considerable challenge in
memorizing their individual names. Acquiring knowledge about specific flower types …
memorizing their individual names. Acquiring knowledge about specific flower types …
A flower classification framework based on ensemble of cnns
Currently, the classification of flower species has become a hot topic in the field of image
classification. Flower classification belongs to the category of fine image classification, and …
classification. Flower classification belongs to the category of fine image classification, and …
A novel feature ranking criterion for supervised interval valued feature selection for classification
In this paper, a novel feature ranking criterion for selecting interval valued features in
supervised environment is introduced. The introduced feature ranking criterion works on uni …
supervised environment is introduced. The introduced feature ranking criterion works on uni …
Image Abstraction Framework as a Pre-processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning Approaches
MP Pavan Kumar, B Poornima… - SN Computer …, 2022 - Springer
This work extricates the image characteristic features for the classification of archeological
monument images. At the pre-processing stage, archeological dataset sample images are …
monument images. At the pre-processing stage, archeological dataset sample images are …
Flower classification based on single petal image and machine learning methods
S Lu, Z Lu, X Chen, S Wang… - 2017 13th International …, 2017 - ieeexplore.ieee.org
This research presented a novel automatic flower classification system based on computer
vision and machine learning techniques. First, we obtained in total 157 petal images of three …
vision and machine learning techniques. First, we obtained in total 157 petal images of three …
Segmentation of aerospace images by a non-standard approach using informative textural features
A Yerzhanova, G Abdikerimova, Z Alimova… - … -European Journal of …, 2022 - papers.ssrn.com
The article presents an analysis of a non-standard approach to the segmentation of textural
areas in aerospace images. The question of the applicability of sets of textural features for …
areas in aerospace images. The question of the applicability of sets of textural features for …
Orchids classification using spatial transformer network with adaptive scaling
The orchids families are large, diverse flowering plants in the tropical areas. It is a
challenging task to classify orchid species from images. In this paper, we proposed an …
challenging task to classify orchid species from images. In this paper, we proposed an …
HYPERPARAMETER OPTIMIZATION OF CONVOLUTIONAL NEURAL NETWORK FOR FLOWER IMAGE CLASSIFICATION USING GRID SEARCH ALGORITHMS
DA Wibowo, N Suciati, A Yuniarti - Jurnal Teknik Informatika …, 2024 - jutif.if.unsoed.ac.id
Indonesia is a country with a tropical climate that greatly affects agriculture. Flowering plants
are estimated to account for 25% of species in Indonesia; there are 416 families, 13,164 …
are estimated to account for 25% of species in Indonesia; there are 416 families, 13,164 …