Disease and pest infection detection in coconut tree through deep learning techniques
The coconut palm plantation industry relies heavily on expert advice to identify and treat
infections. Computer vision in deep learning technology opened up an avenue in the …
infections. Computer vision in deep learning technology opened up an avenue in the …
[PDF][PDF] Image processing and machine learning techniques used in computer-aided detection system for mammogram screening-A review
This paper aims to review the previously developed Computer-aided detection (CAD)
systems for mammogram screening because increasing death rate in women due to breast …
systems for mammogram screening because increasing death rate in women due to breast …
An optimum multi-level image thresholding segmentation using non-local means 2D histogram and exponential Kbest gravitational search algorithm
Multi-level image thresholding segmentation divides an image into multiple non-overlap**
regions. This paper presents a novel two-dimensional (2D) histogram-based segmentation …
regions. This paper presents a novel two-dimensional (2D) histogram-based segmentation …
Biometric authentication using a deep learning approach based on different level fusion of finger knuckle print and fingernail
H Heidari, A Chalechale - Expert Systems with Applications, 2022 - Elsevier
This paper presents a deep learning method for human authentication based on hand
dorsal characteristics. The proposed method uses the fingernail (FN) and the finger knuckle …
dorsal characteristics. The proposed method uses the fingernail (FN) and the finger knuckle …
An improved Otsu threshold segmentation algorithm
P Yang, W Song, X Zhao, R Zheng… - International Journal …, 2020 - inderscienceonline.com
Image segmentation is widely used as a fundamental step for various image processing
applications. This paper focuses on improving the famous image thresholding method …
applications. This paper focuses on improving the famous image thresholding method …
Rice blast recognition based on principal component analysis and neural network
M **ao, Y Ma, Z Feng, Z Deng, S Hou, L Shu… - … and electronics in …, 2018 - Elsevier
Based on principal component analysis and back propagation neural network (PCA-BP), a
rice blast recognition method was proposed to solve the problems of low accuracy …
rice blast recognition method was proposed to solve the problems of low accuracy …
An integrated ROV solution for underwater net-cage inspection in fish farms using computer vision
This paper reports the integration of a remotely operated vehicle (ROV) solution for
monitoring water quality in fish farms. The robotic system includes a RGB camera for real …
monitoring water quality in fish farms. The robotic system includes a RGB camera for real …
Efficient and accurate hemorrhages detection in retinal fundus images using smart window features
Diabetic retinopathy (DR) is one of the diseases that cause blindness globally. Untreated
accumulation of fat and cholesterol may trigger atherosclerosis in the diabetic patient, which …
accumulation of fat and cholesterol may trigger atherosclerosis in the diabetic patient, which …
Evaluation of manufacturing defects in 3D printed carbon fiber reinforced cylindrical composite structure based on laser ultrasonic testing
KJ Lee, MS Jeon, JR Lee - NDT & E International, 2023 - Elsevier
Additive manufacturing (AM), also known as three-dimensional (3D) printing technology, has
the advantages of rapid modeling of complex shapes and flexibility in design. Nowadays, 3D …
the advantages of rapid modeling of complex shapes and flexibility in design. Nowadays, 3D …
[Retracted] Performance Analysis of Otsu‐Based Thresholding Algorithms: A Comparative Study
Q Cao, L Qingge, P Yang - Journal of Sensors, 2021 - Wiley Online Library
Image thresholding is a widely used technology for a lot of computer vision applications, and
among various global thresholding algorithms, Otsu‐based approaches are very popular …
among various global thresholding algorithms, Otsu‐based approaches are very popular …