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Article
MAPFUNet: Multi-attention Perception-Fusion U-Net for Liver Tumor Segmentation
The second-leading cause of cancer-related deaths globally is liver cancer. The treatment of liver cancers depends heavily on the accurate segmentation of liver tumors from CT scans. The improved method based ...
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Article
Liver segmentation based on complementary features U-Net
Automatic segmentation of the liver in abdominal CT images is critical for guiding liver cancer biopsies and treatment planning. Yet, automatic segmentation of CT liver images remains challenging due to the po...
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Article
Collaborative optimization of spatial-spectrum parallel convolutional network (CO-PCN) for hyperspectral image classification
The deep learning model has demonstrated excellent performance in the fitting of data and knowledge. For hyperspectral images, accurate classification is still difficult in the case of limited samples and high...
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Article
Face recognition based on multi-scale local directional value
This paper presents a simple, yet robust scheme to improve the LDP-based methods in face recognition. Firstly, a generalized operator, called local directional value (LDV), is introduced to reduce the influenc...
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Article
Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units
Image segmentation is an important application of polarimetric synthetic aperture radar. This study aimed to create an 11-layer deep convolutional neural network for this task. The Pauli decomposition formed t...
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Article
Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm
Pathological brain detection is an automated computer-aided diagnosis for brain images. This study provides a novel method to achieve this goal.We first used synthetic minority oversampling to balance the data...
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Article
Preliminary study on angiosperm genus classification by weight decay and combination of most abundant color index with fractional Fourier entropy
In order to develop an efficient angiosperm-genus classification system, we first collected petal image of Hibiscus, Orchis, and Prunus, by digital camera, and remove the backgrounds by region-growing method. ...
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Article
Cat Swarm Optimization applied to alcohol use disorder identification
(Aim) Alcohol use disorder may put health at risk and cause serious health problems. It is of increasing importance to identify alcohol use disorder as early as possible. (Method) This study proposed a compute...
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Article
Joint-scale LBP: a new feature descriptor for texture classification
This paper presents a simple, efficient, yet robust approach, named joint-scale local binary pattern (JLBP), for texture classification. In the proposed approach, the joint-scale strategy is developed firstly,...
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Article
Open AccessConcave-convex local binary features for automatic target recognition in infrared imagery
This paper presents a novel feature extraction algorithm based on the local binary features for automatic target recognition (ATR) in infrared imagery. Since the inception of the local binary pattern (LBP) and...
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Chapter and Conference Paper
Electronic Trace Fossil Image Retrieval Based on Extended Direction Local Binary Pattern
Based on the direction local binary pattern (dLBP) and the center-symmetric local binary pattern (CS-LBP), an improved direction local binary pattern (idLBP) was presented. The directionality, coarseness and c...
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Chapter and Conference Paper
Improved Region Local Binary Patterns for Image Retrieval
Two extended patterns, direction local binary pattern (D-LBP) and variance direction local binary pattern (vD-LBP) were introduced in the paper. More texture features are obtained in the new operators by intro...
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Chapter and Conference Paper
An Extended Center-Symmetric Local Ternary Patterns for Image Retrieval
A new texture spectrum descriptor was proposed for region description in the paper, which is an extension of center-symmetric local ternary pattern (CS-LTP). Different from CS-LTP, the central piexl of the reg...
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Chapter and Conference Paper
Shape Retrieval Based on the Relativity of Chain Codes
The direction chain code has been widely used in image retrieval for its simplicity and low storage requirement. One problem is that the traditional methods did not consider the relativity among the chain code...
