Yu-Ning Liu Chung-Han Huang Wei-Lun Chao R98942125 R98942117 R98942073 Motivation Image segmentation is an important image processing, and it seems everywhere if we want to analyze what inside the image. For example, if we seek to find if there is a chair or person inside an indoor image, we may need image segmentation to separate objects and analyze each object individually to check what it is...

Extraocular muscles (EOMs) enlargement affects the biomechanics of eye movement and is a key factor of several orbital diseases [1]. Identification of EOM enlargement is important for clinical diagnosis and treatment, however, accurate and efficient quantification of EOM anatomy is challenge. We present a fully automatic method to segment and reconstruct 3D model of the EOMs. We design a novel ...

T detection of illicit nuclear materials is a major tool in preventing and deterring nuclear terrorism. The detection task is extremely difficult because of physical limitations of nuclear radiation detectors, shielding by intervening cargo materials, and the presence of background noise. We aim at enhancing the capabilities of detectors with algorithmic methods specifically tailored for nuclea...

Computational tools for the analysis of complex biological networks are lacking in human connectome research. Especially, how to discover the brain network patterns shared by a group of subjects is a challenging computational neuroscience problem. Although some single graph clustering methods can be extended to solve the multi-graph cases, the discovered network patterns are often imbalanced, e...

Keywords: Perceptual grouping Early human vision Image pixel grouping Local image structure Graph partitioning Normalized cut a b s t r a c t Graph partitioning for grouping of image pixels has been explored a lot, with normalized cut based graph partitioning being one of the popular ones. In order to have a credible allegiance to the perceptual grouping taking place in early human vision, we p...

Image segmentation is an essential component of the remote sensing, image inspection, classification and pattern identification. The road satellite image categorization points a momentous tool for the assessment of images. In the present work, the researchers have evaluated the computer vision techniques for instance segmentation and knowledge based techniques for categorization of high-resolut...

In this paper we present an image segmentation technique that fuses contributions from multiple feature subspaces using an energy minimization approach. For each subspace, we compute a per-pixel quality measure and perform a partitioning through the standard normalized cut algorithm [12]. To fuse the subspaces into a final segmentation, we compute a subspace label for every pixel. The labeling ...

This paper develops a computational method for numerical control (NC) of traveling wire electric discharge machining (EDM) operation from geometric representation of a desired cut profile in terms of its contours. Normalized arc length parameterization of the contour curves is used to represent the cut profile and a subdivision algorithm is developed together with kinematic analysis to generate...

Motion segmentation in videos involves identifying regions in the frames of the video that correspond to independently moving objects. This is one of the key techniques that help solve various problems encountered when dealing with image sequences, such as redundancy elimination in digital video and tracking of moving objects. Graph theoretic approaches have been widely used for performing segm...

This paper proposes a new evolutionary region merging method to improve segmentation quality result on oversegmented images. The initial segmented image is described by a modified Region Adjacency Graph model. In a second phase, this graph is successively partitioned in a hierarchical fashion into two subgraphs, corresponding to the two most significant components of the actual image, until a t...