introduction: virtual bronchoscopy is a reliable and efficient diagnostic method for primary symptoms of lung cancer. the segmentation of airways from ct images is a critical step for numerous virtual bronchoscopy applications. materials and methods: to overcome the limitations of the fuzzy connectedness method, the proposed technique, called fuzzy connectivity - fuzzy c-mean (fc-fcm), utilized...

Deep convolutional neural networks (DCNNs) have been widely used in medical image segmentation due to their excellent feature learning ability. In these DCNNs, the pooling operation is usually for down-sampling, which can gradually reduce resolution and thus expands receptive field of convolution kernel. Although has above advantages, it inevitably causes information loss during down-sampling p...

texture image analysis is one of the most important working realms of imageprocessing in medical sciences and industry. up to present, different approacheshave been proposed for segmentation of texture images. in this paper, we offeredunsupervised texture image segmentation based on markov random field (mrf)model. first, we used gabor filter with different parameters’ (frequency,orientation) va...

In Chinese information retrieval (IR), word segmentation is an essential prerequisite process to break down the documents into smaller linguistic units or word segments so that they can be indexed for subsequent retrieval. Despite a host of Chinese information systems that are in existence today, little work has been done to study word segmentation accuracy and its effect on IR. This article de...

This paper describes experimental algorithms developed to investigate the problems of region based segmentation and matching processes on black and white and color stereo pairs of images. Our goal is twofolds: make these operations as automatic as possible and have them cooperate with each other. A cooperative automatic top-down segmentation algorithm is proposed. The two segmentation trees are...

In order to understand ongoing activity, observers segment it into meaningful temporal parts. Segmentation can be based on bottom-up processing of distinctive sensory characteristics, such as movement features. Segmentation may also be affected by top-down effects of knowledge structures, including information about actors’ intentions. Three experiments investigated the role of movement feature...