نتایج جستجو برای: surf و mser
تعداد نتایج: 763465 فیلتر نتایج به سال:
A novel approach is presented for synthetic aperture radar (SAR) image segmentation. By incorporating the advantages of maximally stable extremal regions (MSER) algorithm and spectral clustering (SC) method, the proposed approach provides effective and robust segmentation. First, the input image is transformed from a pixelbased to a region-based model by using the MSER algorithm. The input imag...
The Scale Invariant Feature Transform (SIFT) proposed by David G. Lowe has been used in face recognition and proved to perform well. Recently, a new detector and descriptor, named Speed-Up Robust Features (SURF) suggested by Herbert Bay, attracts people’s attentions. SURF is a scale and in-plane rotation invariant detector and descriptor with comparable or even better performance with SIFT. Bec...
This paper is a study on real-time object tracking algorithm using depth information of the Kinect and fast speeded up robust feature(SURF) algorithm. Depth information of the Kinect is used to overcome the disadvantage which continuously adaptive meanshift(Camshift) and Meanshift have of illumination and noise. Because processing time of SURF algorithm is faster than that of scale invariant fe...
background: the segmentation of cancerous areas in breast images is important for the early detection of disease. thermal imaging has advantages, such as being non-invasive, non-radiation, passive, quick, painless, inexpensive, and non-contact. imaging technique is the focus of this research. methods: the proposed model in this paper is a combination of surf and corners that are very resistant....
We describe an implementation of the Maximally Stable Extremal Region ([3], Sect. 2, MSER) feature detector and an immediate multi-dimensional generalization ([1], Sect. 2). We propose an algorithm (Sect. 3) that is essentially uniontree with path-compression and union-by-rank (see for instance [4]). However we do not use the N-tree graph of [4] as for the purpose of fitting ellipses to the MSE...
Scene text detection via extremal region based double threshold convolutional network classification
In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by incorporating saliency detection methods, which ensures a high recall rate. Given a natural image, character candidates are extracted from three channels in a percept...
The divergently transcribed Surf-1 and Surf-2 housekeeping genes are separated by a bi-directional, TATA-less promoter which lies within a CpG-rich island. Here we show that CpG methylation severely reduces transcription in the direction of both Surf-1 and Surf-2. Previous work has identified three promoter elements (Su1, Su2 and Su3) which are conserved between the human and mouse Surf-1/Surf-...
Decline in surf scoter (Melanitta perspicillata) waterfowl populations wintering in the Chesapeake Bay has been associated with changes in the availability of benthic bivalves. The Bay has become more eutrophic, causing changes in the benthos available to surf scoters. The subsequent decline in oyster beds (Crassostrea virginica) has reduced the hard substrate needed by the hooked mussel (Ischa...
Seasonal variation in physico-chemical properties and zooplankton biomass in Greater Zab River -Iraq
صخلملا Seasonal variation of zooplankton biomass has been carried out at two selected sites on Greater Zab River. Monthly samples of water were collected during period from January to December 2008. Some physico-chemical properties of water were studied including water temperature (from 8 to 30.5 C), hydrogen ion concentration (from 6.3 to 8), EC (from 255 to 821 μs.cm), turbidity (1085 NTU), d...
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