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Roads, as important artificial objects, are the main body of modern traffic system, providing many conveniences for human civilization. With the development of Intelligent Transportation Systems (ITS), the road structure is changing frequently. Road recognition is to identify the road type from remote sensing imagery, and road types depend largely on the characteristics of roads. Thus, how to extract...
A key problem in salient object detection is how to effectively exploit the multi-level saliency cues in a unified and data-driven manner. In this paper, building upon the recent success of deep neural networks, we propose a fully convolutional neural network based approach empowered with multi-level fusion to salient object detection. By integrating saliency cues at different levels through fully...
Infrared videos from transmission line inspection of UAV have a large amount of data with low SNR (Signal to Noise Ratio). Identifying heat defects automatically using infrared videos is difficult and inefficient. In this paper, an advanced method is proposed. Firstly, points with excessive value of the component regions according to conductors are analyzed in their neighbors to obtain defect points...
Infrared videos from transmission line inspection of UAV have a large amount of data with low SNR (Signal to Noise Ratio). Identifying heat defects automatically using infrared videos is difficult and inefficient. In this paper, an advanced method is proposed. Firstly, points with excessive value of the component regions according to conductors are analyzed in their neighbors to obtain defect points...
From the perspective of semantic network model, this paper does research on the urban road extraction from high-resolution remote sensing images. First, we analyze spatial features and contextual information of road in high resolution remote sensing images. By using the method of regional segmentation edge detection, area filter and Hough transform methods respectively, we obtain the candidate nodes...
Nowadays, face detection and recognition have gained importance in security and information access. In this paper, an efficient method of face detection based on skin color segmentation and principal components analysis(PCA) is proposed. Firstly, segmenting image using color model to filter candidate faces roughly; And then Eye-analogue segments at a given scale are discovered by finding regions which...
The presented research addressed a novel visual attention model and watershed segmentation based approach of regions of interest (ROIs) extraction, which automatically extracts ROIs and copes with the watershed over-segmentation. This approach uses visual attention model to locate salient points, in which the winner point, the most salient point, is selected as the seed point of watershed segmentation...
Region of interest(ROI) plays an important role in image analysis. In this paper, an efficient approach for content based image retrieval combining both color and texture features using three ROIs is proposed. Firstly, segment image to three parts using K-means algorithm. Secondly, select three ROIs from the three parts and then extract color features and texture features of ROIs. The similarity of...
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