Image enhancement based on skin-colour segmentation and smoothness
The image restoration tasks represented by image denoising, super-resolution and image deblurring have a wide range of application background, and have become a research hotspot in academia and business circles. A novel image enhancement algorithm based ...
Facial expression recognition based on convolutional block attention module and multi-feature fusion
In this paper, we focus on the research of facial expression recognition. A novel convolutional block attention module and multi-feature fusion method are proposed for facial expression recognition. The local feature clustering loss function is proposed, ...
Automated inspection of spur gears using machine vision approach
The paper presents a machine-vision-based system for automated inspection of standard spur gears. Image processing algorithms are used for the measurement of important gear dimensions such as radii of addendum circle, dedendum circle and pitch circle, ...
DDVM: dual decision voting mechanism for brain tumour identification with LBP2Q-SVM type classifier
Brain tumour classification plays a significant role in medical science as diagnosis of a brain tumour at its early stage of development can improve the recovery of the patient after treatment. In this paper, effective brain tumour presence and type ...
A modified Coye algorithm for retinal vessel segmentation
According to a scientific study, eyes are the best predictors of numerous disorders including glaucoma, diabetic retinopathy, hypertension, and stroke. An ophthalmologist can learn about the problems by looking at the segmented retinal blood vessel ...
Obstacle detection technique to solve poor texture appearance of the obstacle by categorising image's region using cues from expansion of feature points for small UAV
Achieving a reliable obstacle detection system for small unmanned aerial vehicle (UAV) is very challenging due to its size and weight constraints. Prior works tend to employ the vision sensor as main detection sensor but resulting to high dependency on ...
Supervised learning software model for the diagnosis of diabetic retinopathy
Diabetic retinopathy (DR) is the leading cause of eye diseases and vision loss for diabetic affected people. Due to the damage of retinal blood vessels, diabetic patients often suffer from DR. So the retinal blood vessel segmentation plays a crucial role ...
