A5101495693- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Industrial Vision Systems and Defect Detection
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
- Machine Fault Diagnosis Techniques
- Vehicle License Plate Recognition
- Wireless Body Area Networks
- IoT and Edge/Fog Computing
- Infrastructure Maintenance and Monitoring
- Robotic Path Planning Algorithms
- Cell Image Analysis Techniques
- Context-Aware Activity Recognition Systems
- Advanced Neural Network Applications
- Advanced Numerical Analysis Techniques
- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Infrared Target Detection Methodologies
Beijing Institute of Fashion Technology
2013-2025
Northeastern University
2018-2021
Beijing University of Technology
2016
Chongqing University
2011
Superpixels are widely used in computer vision applications, as they conserve the running costs of subsequent processing while preserving original performance. In most existing algorithms, boundary adherence and compactness superpixels necessarily inter-inhibitive because color/gradient information is balanced against position constraints, set criteria define all pixels indiscriminately. this paper, we present a two-phase superpixel segmentation method based on watershed transformation....
Superpixels are widely used in computer vision applications. Most of the existing superpixel methods use established criteria to indiscriminately process all pixels, resulting boundary adherence and regularity being unnecessarily inter-inhibitive. This study builds upon a previous work by proposing new segmentation strategy that classifies image content into meaningful areas containing object boundaries meaningless parts include color-homogeneous texture-rich regions. Based on this...
This paper is focused on the segmentation of fabric weave patterns for urgent requirement imitative design and redesign.The related to yarn are determined by a new technology,which called bidimensional mode decomposition based method. The proposed method first iteratively decompose underlying image into number intrinsic functions (IMFs). order IMF applied calculate histogram pattern results obtained integrating corresponding threshold decision strategies such as double maxima algorithm or...
With the development of healthcare technology and medical standard, demands quality efficiency mobile nursing are increased significantly, hence it is necessary to improve hospital mechanism dealing with massive tasks. In this paper, we develop an optimized system based on specific nurse workflow analysis in obstetrics. An efficient integration framework proposed combined existing common systems WLAN network environment, which implements automatically execute data interaction. A combination...