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Accurately predicting the risk of cancer recurrence and metastasis is critical to cancer individualized treatment. Currently, physicians commonly use histological grade, which is determined by pathologists via performing a semi-quantitative analysis of three histological and cytological features on Hematoxylin-Eosin (HE) stained histopathological images, to assess the prognosis of a breast cancer...
Scale invariance is a desirable property for many vision tasks such as image segmentation and classification. One way to achieve such invariance is to collect images containing objects of all scales and then train a classifie r. In practice, however, only a finite number of images at a finite number of scales can be collected, and this poses the problem of scale sampling. In this paper, we focus on...
Rooftop edge line extraction is essential for building recognition and extraction in aerial images. In this paper, a new integrated edge line extraction algorithm is proposed for aerial imagery which often contains many buildings of complex shapes, and much more noise. Firstly, an improved marker-controlled watershed algorithm is applied to the aerial imagery segmentation, incorporated with altitude...
Forest fire detection includes satellite monitoring, manual monitoring, aerial survey and so on. Compared with these expensive ways, a more practical fireproofing surveillance system needs to be built. An image capture system can be set up in the tower to sent fire image back to the command centre, using the short wave radios equipped for manual monitoring in the towers. Considering the finitude of...
Most unsupervised methods in boundary detection fail to manage the small veins with strong contrast in brightness. Aiming at this, the paper presents a novel method in boundary detection, which is based on two parts. The first part is combination of LBP (local binary pattern) and maximum difference criterion of texture to get a clear salient-boundary-point image, using local texture cues to cut down...
The recognition of mathematical symbols is an important step in the mathematical expression recognition system. It consists of two stages: symbol segmentation and symbol recognition. Aiming at the fact that the commercial OCR systems cannot recognize expression symbols correctly because of the differences between mathematical symbols and ordinary characters, we do lots of research work on the recognition...
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