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Edges are image attributes which are useful for image analysis and classification in a wide range of applications. The numerous applications and the subjective approaches to edge definition and characterization have promoted the development of a large number of edge operators which may perform well in given applications but poorly in smooth metallic surface where specular reflection components are...
This paper proposes novel algorithms for color based segmentation and shape based matching of forest fires from video frames. Fire pixels from the sample images are collected and compose 3D point cloud in RGB color space, based on which Gaussian mixture model is used to build a more precise color model. According to new definition of flame pattern, possible fire region is further segmented with the...
The existing approaches for object detection from remote sensing images usually have the assumptions that the location is already known or determined manually. Our paper proposes an automatic and rapid method to detect objects from satellite image with large size, which is the precondition for detailed object recognition. Since feature based method usually performs better and faster than pixel based...
On chrome-plated surfaces, specular reflection is very strong while reflection is very weak. This makes the automatic inspection on a chrome-plated very difficult. Based on analysis of chrome-plated reflection properties, this paper propose and develop a method to reduce specular reflection. Using the median of gradients of all input images taken with various lighting direction, we reconstruct a syntheses...
This paper proposes a new color-based method for forest fire segmentation from video image. Two kinds of color features including intensity value and color distribution are used. In segmentation based on V value of HSV color model, the lower threshold is defined from experience, and the higher threshold value is computed automatically, thus the possible fire regions can be divided into two subsets...
This paper proposes one method for the extraction of eye contour from monocular image with monkey face. Face region is segmented using the facial skin color model constructed from some samples and the operations of mathematical morphology. Then the face region is size normalized, and rotation normalized based on the located eyes. Taking the boundary of eye as initial point set, ACM is adopted to search...
In the methods of video based fire detection, wavelet was usually used to test whether a pixel belongs to fire region, while fast Fourier transform was used to describe the contour of fire area. We try these two methods on images with forest flame, and develop one new approach combined both wavelet and FFT. In our method, contour of fire is found firstly, then is presented by FFT, and then temporal...
A novel algorithm for recovery of camera poses and 3D reconstruction of reference points is presented and realized. A good initial value is estimated for the projective reconstruction by the matrix factorization method using coded targets as original input. The coordinates of the non-coded targets in 3D projective space is then recovered using the stereo triangulation. The coordinates of the non-coded...
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