Ellipse-based shape description and retrieval method

Using a group of ellipses to approach the shape contour, a new shape retrieval method is presented in this paper. In order to keep shape-based retrieval invariant to its position, orientation and size, the shape normalization method is presented. From our research, any closed shape contour can be uniquely decomposed into a group of ellipses, and the original shape contour can be re-constructed using the decomposed ellipses. The ellipse-based shape description and similar retrieval method is introduced in this paper. Based on ellipse's contribution to shape contour, the decomposed ellipses are parted into low-order ellipses and high-order ellipses. The low-order ellipses measure the macroscopic feature of a shape contour, and the high-order ellipses measure the microscopic feature. The two-phase shape matching method is given. Through the experiment test, our method has better shape retrieval effect.

Description of Shape Coexistence and Mixed-Symmetry States in ^(96)Mo Using IBM-2

We investigate the level structure and E2,M1 electromagnetic transition properties in an even-even^（96）Mo nucleus within the framework of the proton-neutron interacting boson model（IBM-2）.The calculated results of the IBM-2 can reproduce the recent new experimental data on^（96）Mo both qualitatively and quantitatively.It is found that both shape coexistence and mixed-symmetry states in^（96）Mo can be simultaneously described very well with the IBM-2 by taking into account that the relative energy of d neutron bosons is different from that of proton bosons.

Description of the Shape Coexistence in 98Mo with IBM2

We investigate the properties of the low-lying states and the relevant shape dynamics of ^98 Mo within the frame- work of the proton-neutron interacting boson model （IBM2）. By considering the relative energy of the d proton boson to be different from that of the neutron bosons, the low-lying levels and the key observable B（E2） transition branching ratios are calculated. The characteristic feature of the energy spectrum and the most crucial available structure indicator indicate that the substantial mixing between the spherical-vibrational and γ-unstable shapes in 9SMo. The calculation results of the overall deformation in ^98Mo are almost the same for both the ground and the first excited 02^＋ states, showing a weak deformation. While the triaxiality parameter indicates that the mostly triaxial shape with some oblate for the ground state, and the triaxial shape with some prolate for the excited 02^＋ state, being equilibrium shapes of spherical-vibrational and γ-unstable in ^98 Mo.

Shape retrieval using multi-level included angle functions-based Fourier descriptor

An effective shape signature namely multi-level included angle functions MIAFs is proposed to describe the hierarchy information ranging from global information to local variations of shape.Invariance to rotation translation and scaling are the intrinsic properties of the MIAFs.For each contour point the multi-level included angles are obtained based on the paired line segments derived from unequal-arc-length partitions of contour.And a Fourier descriptor derived from multi-level included angle functions MIAFD is presented for efficient shape retrieval.The proposed descriptor is evaluated with the standard performance evaluation method on three shape image databases the MPEG-7 database the Kimia-99 database and the Swedish leaf database. The experimental results of shape retrieval indicate that the MIAFD outperforms the existing Fourier descriptors and has low computational complexity.And the comparison of the MIAFD with other shape description methods also shows that the proposed descriptor has the highest precision at the same recall value which verifies its effectiveness.

Research on extraction and reproduction of deformation camouflage spot based on generative adversarial network model

The method of describing deformation camouflage spots based on feature space has some shortcomings,such as inaccurate description and difficult reproduction.Depending on the strong fitting ability of the generative adversarial network model,the distribution of deformation camouflage spot pattern can be directly fitted,thus simplifying the process of spot extraction and reproduction.The requirements of background spot extraction are analyzed theoretically.The calculation formula of limiting the range of image spot pixels is given and two kinds of spot data sets,forestland and snowfield,are established.Spot feature is decomposed into shape,size and color features,and a GAN(Generative Adversarial Network)framework is established.The effects of different loss functions on network training results are analyzed in the experiment.In the meantime,when the input dimension of generator network is 128,the balance between sample diversity and quality can be achieved.The effects of sample generation are investigated in two aspects.Subjectively,the probability of the generated spots being distinguished in the background is counted,and the results are all less than 20% and mostly close to zero.Objectively,the features of the spot shape are calculated and the independent sample T-test is applied to verify that the features are from the same distribution,and all the P-Values are much higher than 0.05.Both subjective and objective methods prove that the spots generated by this method are similar to the background spots.The proposed method can directly generate the desired camouflage pattern spots,which provides a new technical method for the deformation camouflage pattern design and camouflage effect evaluation.

DYNAMIC LAYOUT ADJUSTMENT AND NAVIGATION FOR ENTERPRISE GIS BASED ON OBJECT MARK RECOGNITION

In this paper a new method is developed to make a dynamic layout adjustmentand navigation for enterprise Geographic Information System (GIS) based on object mark recognition.The extraction of object mark images is based on some morphological structural patterns, which aredescribed by morphological structural points, contour property, and other geometrical data in abinary image of enterprise geographic information map. Some pre-processing methods, contour smoothfollowing, linearization and extraction patterns of structural points, are introduced. If anyspecial object is selected to make a decision in a GIS map, the all information around it will beobtained. That is, we need to investigate similar object enterprises around selected region toanalyse whether it is necessary for establishing the object enterprise at that place. To furthernavigate GIS map, we need to move from one region to another. Each time a region is formed anddisplayed based on the user's focus. If a focus point of a map is selected, in terms of extractedobject mark image, a dynamic layout and navigation diagram is constructed. When the user changes thefocus (i. e. click a node in the navigation mode), a new sub-diagram is formed by dropping oldnodes and adding new nodes. The prototype system provides effective interfaces that support GISimage navigation, detailed local image/map viewing, and enterprise information browsing.