Automated detection and classification of sewer defects can complement the conventional
labor-intensive sewer inspection process by providing an essential tool to classify sewer …

This paper presents a statistical region based Active Contour Model (ACM) considering the
correlation between local and global image statistics to segment cluttered images …

Automatic segmentation of images, which is now feasible through an increase in available
computing power, has become an important challenge in many fields. A key technology for …

Objective: During an interactive image segmentation task, the outcome is strongly influenced
by human factors. In particular, a reduction in computation time does not guarantee an …

Purpose Planning orthopedic surgeries is commonly performed in computed tomography
(CT) images due to the higher contrast of bony structure. However, soft tissues such as …

The performance of graph cut based interactive object segmentation approach depends
highly on the size of the image. For high-resolution images, it requires an unacceptable …

Many interactive image segmentation methods design energy functions based on the local
relationship of neighboring pixels, which is insufficient at capturing the abundant information …

This paper addresses the problem of interactive multiclass segmentation of images. We
propose a fast and efficient new interactive segmentation method called superpixel α fusion …

Image segmentation is critical for computer vision as it is used in object detection, image
analysis and other applications. The ability of graph cut algorithms to model image data and …

Segmentation algorithms perform different on differernt datasets. Sometimes we want to
learn which segmentation algoirithm is the best for a specific task, therefore we need to rank …