Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation
The recognition of coral species based on underwater texture images poses a significant
difficulty for machine learning algorithms, due to the three following challenges embedded in …
difficulty for machine learning algorithms, due to the three following challenges embedded in …
Deep learning for plankton and coral classification
In this paper, we present a study about an automated system for monitoring underwater
ecosystems. The system here proposed is based on the fusion of different deep learning …
ecosystems. The system here proposed is based on the fusion of different deep learning …
Banana leaf diseased image classification using novel HEAP auto encoder (HAE) deep learning
Among the fruit harvest, banana is one of the most significant crops in the international
business for yielding the foreign exchange in many African countries. Nowadays, banana …
business for yielding the foreign exchange in many African countries. Nowadays, banana …
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks
Corals are crucial animals as they support a large part of marine life. The automatic
classification of corals species based on underwater images is important as it can help …
classification of corals species based on underwater images is important as it can help …
A novel feature descriptor based coral image classification using extreme learning machine with ameliorated chimp optimization algorithm
A Ganesan, SM Santhanam - Ecological Informatics, 2022 - Elsevier
Coral reefs are one of the most biodiverse and productive ecosystems on earth, which acts
as a habitat and provides food to a wide range of organisms. The coral reefs protect the …
as a habitat and provides food to a wide range of organisms. The coral reefs protect the …
Directional local ternary co-occurrence pattern for natural image retrieval
Content based image retrieval (CBIR) systems provide a faster way to retrieve images by
representing them in terms of their visual contents. In this paper, a novel texture feature …
representing them in terms of their visual contents. In this paper, a novel texture feature …
Automated adrenal gland disease classes using patch-based center symmetric local binary pattern technique with CT images
Incidental adrenal masses are seen in 5% of abdominal computed tomography (CT)
examinations. Accurate discrimination of the possible differential diagnoses has important …
examinations. Accurate discrimination of the possible differential diagnoses has important …
Statistical Modeling based Directional Pattern Design (SMDPD) feature extraction for coral reef classification
MA Paul, PAJ Rani - Environmental Monitoring and Assessment, 2021 - Springer
Coral reefs are a precious ecosystem that supports majority of marine life. The identification
of coral species is essential in the conservation and monitoring process. Distinguishing the …
of coral species is essential in the conservation and monitoring process. Distinguishing the …
Gradient based aura feature extraction for coral reef classification
M Asha Paul, P Arockia Jansi Rani… - Wireless Personal …, 2020 - Springer
Coral reefs, of all marine ecosystems, are the most diverse. They teem with life with almost a
quarter of all ocean species depending upon reefs for food and shelter. Because of the …
quarter of all ocean species depending upon reefs for food and shelter. Because of the …
A novel framework for real-time diseased coral reef image classification
N Ani Brown Mary, D Dharma - Multimedia Tools and Applications, 2019 - Springer
The new challenge in image processing is in processing submarine coral reef images. The
coral reef disease classification from such submarine coral reef images has become an …
coral reef disease classification from such submarine coral reef images has become an …