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In this paper, we present a novel task specific topdown visual attention method via local pattern analysis as well as histogram backprojection for fast localizing a target. First, two features (i.e., the color feature and the local pattern) are extracted for each pixel of training samples. Then, two histograms of each feature are computed for the target and the whole areas of these samples, respectively...
In tasks of motion detection from aerial videos, feature-based image registration is an essential step to compensate ego motion of airborne vehicle between consecutive frames. This paper presents the first performance evaluation of feature detectors and descriptors for image alignment and frame difference to detect pixels with motion from aerial videos. To this end, we design two criteria, namely...
Corner detection has shown its great importance in many computer vision tasks. However, in real-world applications, noise in the image strongly affects the performance of corner detectors. Few corner detectors have been designed to be robust to heavy noise by now, partly because the noise could be reduced by a denoising procedure. In this paper, we present a corner detector that could find discriminative...
In this paper an ObjectCode method is presented for fast template matching. Firstly, Local Binary Patterns are adopted to get the patterns for the template and the search image, respectively. Then, a selection strategy is proposed to choose a small portion of pixels (on average 1.87%) from the template, whose patterns are concatenated to form an ObjectCode representing the characteristics of the interested...
Basic-mode partial correlation elimination (BMP) has received popularity in recent years for fast template matching based on Zero-mean Normalized Cross Correlation (ZNCC). BMP is a full search equivalent template matching method, which examines pixel by pixel, and eliminates the rest of the computation as soon as it finds out that the current location is not likely to be the best match. In this paper,...
This paper focuses on image registration between sequential frames in aerial infrared video. To address this problem, we propose an efficient approach based on an improved Smallest Univalue Segment Assimilating Nucleus (SUSAN) corner detector and a novel corner rejection strategy. Firstly, the SUSAN corners are detected via the concatenation of enlarging the radius of original detector and down-sampling...
In light of the analysis on different colorization techniques, a local motion based video colorization method integrating color transfer and color blending is put forward to restraint errors occurred in inter-frame color transfer. On this basis, an interactive processing framework for video colorization is proposed. Key frames are colorized by color blending method, the rest frames get colors from...
Colorization is a computer-assisted technique of adding colors to monochrome images, movies or TV programs. This paper proposes a colorizing scheme for image sequences based on motion estimation and color revising. First the motion vector is refined by a block based neighborhood relaxation. Then the color transfer is established between image sequences. To remove the incorrect colors may occurred...
The oxygen-deficient ferrite (Fe3O4-??) was prepared by reduction of the natural magnetite powder with CO, and the performance of the Fe3O4-?? in decomposing SO2 into elemental sulfur was investigated. The samples, prepared by wet ball-milling of the magnetite using water as solvent for 500 hours, were characterized by means of SEM and XRD, and their activity of decomposing SO2 was tested by measuring...
The fatigue reliability model of the kiln roller in crack initiation stage is developed by using the S-N curve approach in this paper. All related variables are discussed. Among them, the stress variable is obtained from the resultant stress calculated by using the finite element (FE) code ANSYS. Monte Carlo simulation technique is utilized for fatigue reliability evaluation. Some useful conclusions...
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