By Yu-jin Zhang
Picture and video segmentation is likely one of the most crucial projects of snapshot and video research: extracting info from a picture or a chain of pictures. within the final forty years, this box has skilled major progress and improvement, and has led to a digital explosion of released details. Advances in photograph and Video Segmentation brings jointly the most recent effects from researchers excited about cutting-edge paintings in picture and video segmentation, delivering a set of contemporary works made through greater than 50 specialists worldwide.
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Extra resources for Advances in Image And Video Segmentation
Top and middle) Contrast profile using the Bayesian edge model. Peaks above the threshold represent suitable wedge limits; (bottom) some results. 5 50 100 150 200 250 300 350 Orientation Term 0 50 100 150 200 250 300 350 the intensity reward of each segment of fixed length F in terms of the same edge model that was used to compute the contrast profile yields: Pon ( p j ) 1 log = Poff ( p j ) F N ∑ l × log i =1 i Pon (d ( xi ) | φ * ) Poff (d ( xi )) (54) Alternatively, Pon(pj) and Poff (pj) may be built on a non-linear filter depending on the gradient magnitude and also on the relative orientation of the segment with respect to the underlying edge.
In M. ) [online]. Zhang, Y. , & Gerbrands, J. J. (1994). Objective and quantitative segmentation evaluation and comparison. Signal Processing, 39(3), 43-54. Zhang, Y. , Gerbrands, J. , & Back, E. (1990). Thresholding three-dimensional image. SPIE, 1360, 1258-1269. Zhang, Y. , & Lu, H. B. (2002b). A hierarchical organization scheme for video data. Pattern Recognition, 35(11), 2381-2387. Zhang, Y. , & Luo, H. T. (2000). Optimal selection of segmentation algorithms based on performance evaluation.
In this case, the generative approach (Han, Tu, & Zhu, 2004) states that the S = X space (horizontal axis) must be partitioned into K intervals or regions Ri = [ xi −1 , xi ) and also that each surface Ii(x) may fit either a line or a circular arc and this is indicated by the label l i . Consequently we have the following parameters and labels: Θ1 = ( s, ρ ), l 1 = line and Θ 2 = ( x, y, r ), l 2 = circle (5) where the line is defined by the two usual parameters for the Hough transform (orientation and distance to the origin) and the circle is given by the center coordinates and the radius.