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Brand awareness is an important issue for the advertising. How to know the effective of every ad for business is always being studied. This paper present a face detection based on the use of eyes tracking system, that can track how long, does the consumer pays attention on current advertising. Firstly, we use the harr-likes features to capture the faces in the image. Secondly, with the similar feature...
To achieve an online robotic path planning system which can dynamically react to environmental changes, the study proposes a real-time system which updates locally the input information and re-plans in time an alternative path for consecutive following under restrained computing capability of the agent. The system consists of a framework of functions to switch the working space successively into so-called...
The aim of this paper is to evaluate children's bone age based on the radiogram of epiphyseal/metaphyseal region of interests (EMROIs). At first, we take the 9 EMROIs from ring finger, middle finger and index finger into our analysis and then extract the 13 geometrical features for each of them. Next, we utilized the KNN classification under the binary decision tree structure for determining the bone...
A whole breast ultrasound tumor detection algorithm, which could help physicians determine and diagnose, has been proposed. First of all, we employ the multi-scale blob detection. Secondly, we discard most unlikely lesions by ultrasound confidence maps and sheet detection, according to the prior knowledge of breast anatomy. After discarding unlikely blob structures, we collect the survival blob-like...
In super-peer semantic network, when a new peer joins the network, the peer will use the semantic feature of local share documents to select super-peers. In traditionally networks, client-peers use the semantic feature of clusters in peers to select the super-peers to connect. But the clusters are fixed, general, single-level, and not effective to represent the features of all documents. And, while...
In the remote sensing data processing the key in extracting thematic information is to compartmentalize the background and the anomaly. Anciently we use the singleness threshold parameter to extract the anomaly information in the same area. Actually different landscape area have different thematic information background, namely it have background spatial differentiation characteristic. So when we...
Because of magnetic resonance images (MRI) was impacted of thermal/electrical noise, we found that the distribution of the brain tissue is normal distribution according to the observation and study. This paper presents a theory based on Markov field to extract brain tissue and used fuzzy clustering theory to build a normal distribution curve on the histogram of the brain tissue image to segmentation...
The transient caused by capacitor switching is an important power quality (PQ) problem. Switching the capacitor may cause a disturbance to a voltage-sensitive load or a resonance in the system. This paper presents a new method to identify the positions of the transients caused by capacitors through the PQ monitoring system. The discrete wavelet transform is used to extract the features of transients...
Acoustic, texture, and morphological features of the breast in ultrasound imaging were extracted for computer-aided diagnosis. In addition, correlations among different categories of features were analyzed. Clinical data from 14 patients (7 malignant and 7 benign samples) were acquired. A custom-made setup was used for simultaneous data acquisition of B-mode ultrasound and limited-angle tomography...
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