Yibing Ma

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Properties of objects and spatial relations between objects play an important role in rule-based approaches for high-level vision. The partial presence or absence of such properties and relationships can supply both positive and negative evidence for region labeling hypotheses. Similarly, fuzzy labeling of a region can generate new hypotheses pertaining to(More)
Vehicles detection in aerial images has a wide range of applications for visual surveillance. This paper introduces a framework for robust on-road vehicle detection. A passively trained framework system is built using conventional supervised learning. The strategy which is proposed for detecting vehicles is From-coarse-to-fine. In the first step. Road is(More)
Pathological image retrieval contributes to computer-aided diagnosis for breast cancer due to the fact that the retrieval results generally contain detailed diagnostic information (e.g. abnormal regions and diagnostic opinion from other doctors) which can offer some reference and assistance to the doctor during diagnosis process. In this paper, we present a(More)
Content-based image retrieval (CBIR) for digital pathology slides is of clinical use for breast cancer aided diagnosis. One of the largest challenges in CBIR is feature extraction. In this paper, we propose a novel pathology image retrieval method for breast cancer, which aims to characterize the pathology image content through texture and pathological(More)
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