Comparing image feature extraction methods using dermoscopy noisy images
Melanoma is a rare type of skin cancer that is regarded as the most threatening. Many
studies offered a variety of effective melanoma detection strategies. The primary goal of this …
studies offered a variety of effective melanoma detection strategies. The primary goal of this …
Internet of things‐based deeply proficient monitoring and protection system for crop field
The production rate of crops is significantly declining due to natural disasters, animal
interventions and plant diseases. Internet of things (IoT) and wireless sensor networks are …
interventions and plant diseases. Internet of things (IoT) and wireless sensor networks are …
Analysis of various image feature extraction methods against noisy image: SIFT, SURF and HOG
We present the performance of three popular image feature extraction methods such as
Scale Invariant Feature Transformation (SIFT), Speeded-Up Robust Features (SURF) and …
Scale Invariant Feature Transformation (SIFT), Speeded-Up Robust Features (SURF) and …
Efficient hybrid image denoising scheme based on SVM classification
An efficient hybrid image denoising method based on support vector machine (SVM)
classification is designed and developed in this communication. Here, the input noisy image …
classification is designed and developed in this communication. Here, the input noisy image …
Image denoising by preserving geometric components based on weighted bilateral filter and curvelet transform
Preservation of geometric components during image denoising using weighted bilateral filter
and curvelet transforms is explored in this research. The proposed method emphases the …
and curvelet transforms is explored in this research. The proposed method emphases the …
An efficient image denoising method based on principal component analysis with learned patch groups
We propose a novel principal component analysis (PCA)-based image denoising framework
motivated by the fact that the PCA along with patch groups (PGs) can produce better …
motivated by the fact that the PCA along with patch groups (PGs) can produce better …
An energy efficient node localization algorithm for wireless sensor network
At times of natural calamities, it is very important that applications need to have geolocation
data to provide accurate services without interruption. For this, we need to have appropriate …
data to provide accurate services without interruption. For this, we need to have appropriate …
Investigation of COVID-19 symptoms using deep learning based image enhancement scheme for x-ray medical images
V Pandimurugan, AV Prabu… - International …, 2023 - inderscienceonline.com
Image enhancement is the inevitable technique for investigating various biological features.
The biological image data can be obtained from computer tomography (CT), magnetic …
The biological image data can be obtained from computer tomography (CT), magnetic …
Neutron radiographic images denoising method based on multi-branch network
Z Lu, G Li, S Jia, S Liu, P Sun, J Li, S Jing - Nuclear Instruments and …, 2024 - Elsevier
Neutron imaging technology is a non-destructive testing method that uses the interaction
characteristics between neutrons and matter to obtain images. In the process of neutron …
characteristics between neutrons and matter to obtain images. In the process of neutron …
[PDF][PDF] MRI Denoising using sparse based Curvelet transform with variance stabilizing transformation framework
We develop an efficient MRI denoising algorithm based on sparse representation and
curvelet transform with variance stabilizing transformation framework. By using sparse …
curvelet transform with variance stabilizing transformation framework. By using sparse …