[HTML][HTML] New methods for automatic quantification of microstructural features using digital image processing
Thermal and mechanical processes alter the microstructure of materials, which determines
their mechanical properties. This makes reliable microstructural analysis important to the …
their mechanical properties. This makes reliable microstructural analysis important to the …
A novel breast ultrasound image segmentation algorithm based on neutrosophic similarity score and level set
Breast ultrasound (BUS) image segmentation is a challenging task due to the speckle noise,
poor quality of the ultrasound images and size and location of the breast lesions. In this …
poor quality of the ultrasound images and size and location of the breast lesions. In this …
Enhanced Hybrid Algorithms for Segmentation and Reconstruction of Granular Grains From X‐Ray Micro Computed‐Tomography Images
ABSTRACT Accurate three‐dimensional (3D) reconstruction of granular grains from x‐ray
micro‐computed tomography (µCT) images is a long‐standing challenge, particularly for …
micro‐computed tomography (µCT) images is a long‐standing challenge, particularly for …
An adaptive watershed segmentation based medical image denoising using deep convolutional neural networks
Until today, researchers have introduced a range of methodologies to decrease the noise
effect on medical images. In the proposed approach, an adapted deep convolutional neural …
effect on medical images. In the proposed approach, an adapted deep convolutional neural …
Uncertainty modeling and interpretability in convolutional neural networks for polyp segmentation
Convolutional Neural Networks (CNNs) are propelling advances in a range of different
computer vision tasks such as object detection and object segmentation. Their success has …
computer vision tasks such as object detection and object segmentation. Their success has …
Detection of small-sized insects in sticky trap** images using spectral residual model and machine learning
W Li, Z Yang, J Lv, T Zheng, M Li, C Sun - Frontiers in Plant Science, 2022 - frontiersin.org
One fundamental component of Integrated pest management (IPM) is field monitoring and
growers use information gathered from scouting to make an appropriate control tactics …
growers use information gathered from scouting to make an appropriate control tactics …
A novel technique to detect caries lesion using isophote concepts
Abstract Background and Objectives Dental caries is one of the most common painful and
infectious oral diseases. Early detection of caries lesion prevents the spreading of infection …
infectious oral diseases. Early detection of caries lesion prevents the spreading of infection …
Investigation of structure–mechanical property relationship in fused filament fabrication of the polymer composites
Fused filament fabrication (FFF) process is an emerging 3D printing technique primarily
used for rapid prototy** in academic and industrial environments. The mechanical …
used for rapid prototy** in academic and industrial environments. The mechanical …
A note on the marker-based watershed method for X-ray image segmentation
Background and Objective A relatively new marker-based watershed method was proposed
with international readership circulation. In this letter, we put forward a note on the use of …
with international readership circulation. In this letter, we put forward a note on the use of …
A lie group semi-supervised FCM clustering method for image segmentation
H Sun, L Liu, F Li - Pattern Recognition, 2024 - Elsevier
As an unsupervised clustering method with low overhead, Fuzzy C-means (FCM) clustering
has been widely used in a variety of image segmentation tasks. However, existing FCM …
has been widely used in a variety of image segmentation tasks. However, existing FCM …