• Publications
  • Influence
A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques
In this paper, we systematically review recent advances in surface inspection using computer vision and image processing techniques, particularly those based on texture analysis methods. The aim isExpand
MAC: Magnetostatic Active Contour Model
TLDR
The proposed Active contour model using an external force field that is based on magnetostatics and hypothesized magnetic interactions between the active contour and object boundaries is shown to achieve significant improvements when compared against six well-known and state-of-the-art shape recovery methods. Expand
TEXEMS: Texture Exemplars for Defect Detection on Random Textured Surfaces
TLDR
This work presents an approach to detecting and localizing defects in random color textures which requires only a few defect free samples for unsupervised training and compares different texem generalization schemes for defect detection in terms of accuracy and efficiency. Expand
RAGS: region-aided geometric snake
TLDR
An enhanced, region-aided, geometric active contour that is more tolerant toward weak edges and noise in images is introduced and the partial differential equation (PDE) resulting from this integration of image gradient flow and diffused region flow is implemented using a level set approach. Expand
Active Contouring Based on Gradient Vector Interaction and Constrained Level Set Diffusion
  • Xianghua Xie
  • Mathematics, Computer Science
  • IEEE Transactions on Image Processing
  • 2010
TLDR
This paper presents an extension of the recently introduced MAC model to deal with the initialization dependency problem that commonly appears in edge-based approaches, and provides new potentials for edge- based active contour methods, particularly when detecting and localizing objects with unknown location, geometry, and topology. Expand
Handbook of Texture Analysis
TLDR
This collection of chapters brings together in one handy volume the major topics of importance, and categorizes the various techniques into comprehensible concepts of texture analysis. Expand
A Galaxy of Texture Features
The aim of this chapter is to give experienced and new practitioners in image analysis and computer vision an overview and a quick reference to the “galaxy” of features that exist in the field ofExpand
An Overview on Interactive Medical Image Segmentation
TLDR
This paper presents an overview on interactive segmentation techniques for medical images and allows users to intervene the segmentation process by incorporating prior-knowledge, validating results and correcting errors, thus potentially lead to accurate segmentation results. Expand
Tracking 3D human pose with large root node uncertainty
TLDR
This work believes this to be the first work devoted to efficient tracking of human pose whilst modeling large uncertainty in the root node and demonstrates the presented method to be more robust to tracking failures than existing approaches. Expand
Inferring Attention Shift Ranks of Objects for Image Saliency
TLDR
This paper proposes a learning-based CNN to leverage both bottom-up and top-down attention mechanisms to predict the saliency rank, and achieves state-of-the-art performances on salient object rank prediction. Expand
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