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Contourlet can efficiently represent image and be used as image fusion method. When fusion scheme is selected, fusion performance mainly rests on fusion rules. Fusion rules based on region energy is often used in multiresolution analysis (MRA) image fusion scheme. It is more robust and less sensitive to noise. But small region window is often not the best(More)
Contourlet transform is a powerful analysis tool of image which has lines and hyper-plane singularity. It uses Laplacian pyramid transform to decompose source images. But the loss of information of Laplacian pyramid is large than that of the difference pyramid constructed from spline pyramid. In this paper, we use spline pyramid transform to get a multi(More)
The sparse decomposition principle is introduced and a detection algorithm of target with micro-motion embedded in sea clutter is proposed, which can detect and extract micro-Doppler (m-D) signals in low signal-to-clutter ratio environment. Firstly, the three dimensional model of radar echo from micro-motion target is established including the 3-D rotated(More)
The aim of the present study was to investigate the changes of retinal microvascular network in patients with central serous chorioretinopathy (CSCR). A total of fifteen patients (right eye) with CSCR and 15 normal controls (right eye) were recruited. We used optical coherence tomography angiography to scan 6x6 mm macular retinal blood flow images with the(More)
Increasing evidence has suggested that lncRNA CCAT1 is upregulated and functions as a potential tumor promoter in many cancers. However, the potential biological roles and regulatory mechanisms of CCAT1 in intrahepatic cholangiocarcinoma (ICC) remain unclear. We used real-time PCR to measure CCAT1 expression in ICC tissues and the adjacent normal tissues.(More)
The aim of the present study was to investigate the therapeutic effect of a combined treatment of Buyang Huanwu decoction (BYHWD), a well-known formula of traditional Chinese medicine, and neural stem cells (NSCs) on spinal cord injury (SCI) and the associated underlying mechanisms. A SCI model was established by surgery via a complete transection of the(More)
In this paper, we propose a novel approach to detect the under-eye bags on the human facial image. The existence and exacerbation of the under-eye bags is one of the significant marks of the facial aging. Once the under-eye bags appear, it not only plays an important impact on the human looks but also gives the impression of the emaciation and senescence.(More)
OBJECTIVES Non-invasive treatment options for retinoblastoma (RB), the most common malignant eye tumor among children, are lacking. Epithelial growth factor receptor (EGFR) accelerates cell proliferation, survival, and invasion of many tumors including RB. However, RB treatment by targeting EGFR has not yet been researched. In the current study, we(More)
In order to solve the difficulties of multi-source heterogeneous data recognition in big data environment, a multi-source heterogeneous data recognition algorithm based on linguistic labels is proposed in this paper. Recognition method is studied for such multi-source heterogeneous data as real number, interval number and natural language, novel linguistic(More)
A series of river trials are carried out to verify the feasibility of the velocity matching method and the velocity plus attitude matching method. First of all, a hardware-in-the-loop simulation system is designed in this paper. Secondly, the kalman filter models for velocity matching and velocity plus attitude matching are introduced. Four types of river(More)