[PDF][PDF] An overview of intelligent image segmentation using active contour models
The active contour model (ACM) approach in image segmentation is regarded as a research
hotspot in the area of computer vision, which is widely applied in different kinds of …
hotspot in the area of computer vision, which is widely applied in different kinds of …
Diabetic retinopathy detection through artificial intelligent techniques: a review and open issues
U Ishtiaq, S Abdul Kareem, ERMF Abdullah… - Multimedia Tools and …, 2020 - Springer
Diabetic Retinopathy (DR) is the disease caused by uncontrolled diabetes that may lead to
blindness among the patients. Due to the advancements in artificial intelligence, early …
blindness among the patients. Due to the advancements in artificial intelligence, early …
DRCDN: learning deep residual convolutional dehazing networks
S Zhang, F He - The Visual Computer, 2020 - Springer
Single image dehazing, which is the process of removing haze from a single input image, is
an important task in computer vision. This task is extremely challenging because it is …
an important task in computer vision. This task is extremely challenging because it is …
Learning social representations with deep autoencoder for recommender system
With the development of online social media, it attracts increasingly attentions to utilize
social information for recommender systems. Based on the intuition that users are influenced …
social information for recommender systems. Based on the intuition that users are influenced …
MLFS-CCDE: multi-objective large-scale feature selection by cooperative coevolutionary differential evolution
Feature selection is a pre-processing procedure of choosing the optimal feature subsets for
constructing model, yet it is difficult to satisfy the requirements of reducing number of …
constructing model, yet it is difficult to satisfy the requirements of reducing number of …
Mutil-medical image encryption by a new spatiotemporal chaos model and DNA new computing for information security
H Liu, L Teng, Y Zhang, R Si, P Liu - Expert Systems with Applications, 2024 - Elsevier
Medical images are closely related to the patient's condition. We put forward the model of
Sin-Arcsin-Arnold Multi-Dynamic random nonadjacent Coupled Map Lattice (SAMCML) and …
Sin-Arcsin-Arnold Multi-Dynamic random nonadjacent Coupled Map Lattice (SAMCML) and …
A scalable region-based level set method using adaptive bilateral filter for noisy image segmentation
Image segmentation plays an important role in the computer vision. However, it is extremely
challenging due to low resolution, high noise and blurry boundaries. Recently, region-based …
challenging due to low resolution, high noise and blurry boundaries. Recently, region-based …
A novel deep learning framework for copy-moveforgery detection in images
In this era of technology, digital images turn out to be ubiquitous in a contemporary society
and they can be generated and manipulated by a wide variety of hardware and software …
and they can be generated and manipulated by a wide variety of hardware and software …
An efficient GPU-based parallel tabu search algorithm for hardware/software co-design
N Hou, F He, Y Zhou, Y Chen - Frontiers of Computer Science, 2020 - Springer
Hardware/software partitioning is an essential step in hardware/software co-design. For
large size problems, it is difficult to consider both solution quality and time. This paper …
large size problems, it is difficult to consider both solution quality and time. This paper …
A novel enhanced collaborative autoencoder with knowledge distillation for top-N recommender systems
In most recommender systems, the data of user feedbacks are usually represented with a set
of discrete values, which are difficult to exactly describe users' interests. This problem makes …
of discrete values, which are difficult to exactly describe users' interests. This problem makes …