[HTML][HTML] Image analysis and computer vision applications in animal sciences: an overview
Computer Vision, Digital Image Processing, and Digital Image Analysis can be viewed as an
amalgam of terms that very often are used to describe similar processes. Most of this …
amalgam of terms that very often are used to describe similar processes. Most of this …
Image co-localization–co-occurrence versus correlation
JS Aaron, AB Taylor, TL Chew - Journal of cell science, 2018 - journals.biologists.com
Fluorescence image co-localization analysis is widely utilized to suggest biomolecular
interaction. However, there exists some confusion as to its correct implementation and …
interaction. However, there exists some confusion as to its correct implementation and …
Image-adaptive YOLO for object detection in adverse weather conditions
Though deep learning-based object detection methods have achieved promising results on
the conventional datasets, it is still challenging to locate objects from the low-quality images …
the conventional datasets, it is still challenging to locate objects from the low-quality images …
Skin cancer detection from dermoscopic images using deep learning and fuzzy k‐means clustering
Melanoma skin cancer is the most life‐threatening and fatal disease among the family of
skin cancer diseases. Modern technological developments and research methodologies …
skin cancer diseases. Modern technological developments and research methodologies …
Naturalness preserved enhancement algorithm for non-uniform illumination images
Image enhancement plays an important role in image processing and analysis. Among
various enhancement algorithms, Retinex-based algorithms can efficiently enhance details …
various enhancement algorithms, Retinex-based algorithms can efficiently enhance details …
Efficient contrast enhancement using adaptive gamma correction with weighting distribution
SC Huang, FC Cheng, YS Chiu - IEEE transactions on image …, 2012 - ieeexplore.ieee.org
This paper proposes an efficient method to modify histograms and enhance contrast in
digital images. Enhancement plays a significant role in digital image processing, computer …
digital images. Enhancement plays a significant role in digital image processing, computer …
RAISR: rapid and accurate image super resolution
Y Romano, J Isidoro, P Milanfar - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Given an image, we wish to produce an image of larger size with significantly more pixels
and higher image quality. This is generally known as the single image super-resolution …
and higher image quality. This is generally known as the single image super-resolution …
Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering
Objective Melanoma is a dangerous form of the skin cancer responsible for thousands of
deaths every year. Early detection of melanoma is possible through visual inspection of …
deaths every year. Early detection of melanoma is possible through visual inspection of …
Image enhancement for tuberculosis detection using deep learning
The latest World Health Organization's (WHO) study on 2018 is showing that about 1.5
million people died and around 10 million people are infected with tuberculosis (TB) each …
million people died and around 10 million people are infected with tuberculosis (TB) each …
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network
Melanoma is the most fatal type of skin cancer which can cause the death of victims at the
advanced stage. Extensive work has been presented by the researcher on computer vision …
advanced stage. Extensive work has been presented by the researcher on computer vision …