—This paper proposes an edge detection algorithm based on adaptive threshold which is obtained by histogram matching edge gradient value. The implementation of this algorithm is made up of three procedures: all phase discrete cosine sequency filtering, wavelet decomposition and adaptive threshold processing. The image is decomposed into low frequency and high frequency subbands by using all ph...

Motion Blur is one of the common artifacts in digital photographing. With the population of handheld camera and smart phone, image deblurring becomes an important problem. RichardsonLucy algorithm is well-known deconvolution algorithm. But the ringing artifacts usually appear while the estimated point spread function is not accurate. In this paper, we proposed an improved Richardson-Lucy deconv...

A multi-direction fuzzy morphology algorithm, for image edge detection is proposed to deal with edge blur and inaccuracy of boundary localization. In the algorithm, two thresholds are selected to conduct image segmentation and image obtaining respectively, fuzzy enhancement for the image is adopted to resolve the loss of edge information and multi-directional structural elements are used to det...

In this paper we give a linear algorithm to edge partition a toroidal graph, i.e., graph that can be embedded on the orientable surface of genus one without edge crossing, into three forests plus a set of at most three edges. For triangulated toroidal graphs, this algorithm gives a linear algorithm for finding three edge-disjoint spanning trees. This is in a certain way an extension of the well...

We devise a constant-factor approximation algorithm for the maximization version of edge-disjoint paths problem if supply graph together with demand edges form planar graph. By duality this is equivalent to packing cuts in such that each cut contains exactly one edge. also show natural linear programming relaxations have constant integrality gap, yielding an approximate max-multiflow min-multic...

Modern image measurement needs to take full advantage of sub-pixel edge information of images. This paper presents a sub-pixel edge detection method of color images based on image dimensionality reduction and the least square method. First of all we get the pixel level edge by Ostu algorithm and then combine gray processing algorithm based on color spatial distance and the least square method f...

The 'edge of existence' (EDGE) prioritisation scheme is a new approach to rank species for conservation attention that aims to identify species that are both isolated on the tree of life and at imminent risk of extinction as defined by the World Conservation Union (IUCN). The self-stated benefit of the EDGE system is that it effectively captures unusual 'unique' species, and doing so will prese...

A comparison paper is presented to evaluate the results from five smoothing filters. The filters are linear, nonlinear isotropic and nonlinear anisotropic designed to smooth homogeneous areas while preserving the higher moments in the data. The methods are outlined and then evaluated on the extent to which edge information is preserved and unwanted noise is suppressed.

BACKGROUND Fetal spinal magnetic resonance imaging (MRI) is a prenatal routine for proper assessment of fetus development, especially when suspected spinal malformations occur while ultrasound fails to provide details. Limited by hardware, fetal spine MR images suffer from its low resolution.High-resolution MR images can directly enhance readability and improve diagnosis accuracy. Image interpo...

We present an eecient method for maintaining mixtures of prunings of a prediction or decision tree that extends the previous methods for \node-based" prunings to the larger class of edge-based prunings. The method includes an online weight-allocation algorithm that can be used for prediction, compression and classiication. Although the set of edge-based prunings of a given tree is much larger t...