CN106296792A - A kind of VOLUME VISUALIZATION illumination definition method of Topology Driven - Google Patents
A kind of VOLUME VISUALIZATION illumination definition method of Topology Driven Download PDFInfo
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- CN106296792A CN106296792A CN201510238196.2A CN201510238196A CN106296792A CN 106296792 A CN106296792 A CN 106296792A CN 201510238196 A CN201510238196 A CN 201510238196A CN 106296792 A CN106296792 A CN 106296792A
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Abstract
The invention provides a kind of VOLUME VISUALIZATION illumination definition method of Topology Driven.Including the topological representation setting up volume data；Topological representation based on volume data extracts data topology feature；The optical attenuation carrying out topology ambiguity by described topological characteristic calculates；Illumination based on topology relative importance is calculated by described topological characteristic；Illumination based on topology distance is calculated by described topological characteristic；The calculating that illumination parameter automatically generates is carried out by described topological characteristic.The method have the advantage is capable of and be characterized as in VOLUME VISUALIZATION that different objects defines different illumination parameters to describe the difference between object according to data topology, solve the problem describing object difference of importance from lighting angle, but also provide the automatic generation method of the illumination definition of Topology Driven.
Description
Technical field
The present invention relates to data visualization and field of Computer Graphics, particularly relate to a kind of according to the method that data topology attribute definition is the different illumination parameter of different objects definition.
Background technology
Illumination design in visualization has important function in 3D shape describes, global illumination model can assist user perceptual object depth information and size in drawing image, and the illumination of sense of reality can assist user to spend the more accurate object depth information of less Time Perception in volume drawing.Turning to example with three-dimensional stereo, in VOLUME VISUALIZATION, once transfer function determines with viewpoint, and in data, the visual perception of object features depends primarily on illumination parameter.Local illumination model such as Blinn-Phong model main description scheme shape and local detail, and global illumination model further describes the information such as the hiding relation between structure.In visualization, not enough illumination and the illumination of excess all can affect the effectiveness describing object structures details.Illumination definition is to improve one of important technology drawing effectiveness in visualization.On the other hand, topological relation is one of important relationship of object information described in volume data, topological analysis has become an important branch in visualization field, the important attribute (such as the number connecting unit or its critical point of contour surface) of data not only can be encoded by the topology of data fields, and can represent the abstractdesription of data with different topological diagrams.
In traditional illumination definition method, in data, all of object generally uses identical illumination parameter to arrange (tissues as different in 3 d medical images data), and same light between different objects impinges upon effectiveness when describing object difference information according to limiting light, make the user cannot difference between lighting angle perception different objects.Traditional main postgraduate of illumination Definition Model becomes the technology of sense of reality illumination, but does not make full use of the feature of data itself so that the Lighting information different objects that can effectively describe in data.Wherein data topology feature can describe the relation information between different objects, advantage due to object topological attribute, as described the advantage of different relations between object (adjacent, comprise) etc., it is used successfully in the Auto of transfer function, but there is presently no the effective illumination generation technique using object topological structure to drive.
Traditional VOLUME VISUALIZATION illumination parameter definition method is to use experience and hobby to set by repeatedly trial and error method is manual random or based on specific user, and such definition method lacks theoretical direction, and the most very time-consuming.Between different pieces of information, between different user and different time carries out multiplexing also to be difficult to the parameter to definition.Business software defines rendering parameter institute's time spent to reduce user, usually organizes rendering parameter according to specific data type or formation method are predefined more, and user only need to therefrom select one group of use.This parameter definition mode cannot meet the multiformity of data, thus cannot fully describe the object structures information (such as topological relation) in different volume data.This be also illumination definition automatically generate one of main bugbear of facing.
Summary of the invention
It is an object of the invention to provide a kind of VOLUME VISUALIZATION illumination definition method of Topology Driven, can be that in VOLUME VISUALIZATION, the different illumination parameter of different objects definition, to describe the difference between object, but also provides the automatic generation method of the illumination definition of Topology Driven according to data characteristics (such as topological characteristic).
According to an aspect of the invention, it is provided a kind of method defining different illumination parameter for different objects in VOLUME VISUALIZATION, including:
S1: set up the topological representation of volume data；
S2: be analyzed described topological representation, generates data topology feature；
S3: the optical attenuation carrying out topology ambiguity by described topological characteristic calculates；
S4: calculate illumination based on topology relative importance by described topological characteristic；
S5: calculate illumination based on topology distance by described topological characteristic；
S6: carry out the calculating that illumination parameter automatically generates by described topological characteristic.
As a example by classical illumination model Blinn-Phong model, the illumination in VOLUME VISUALIZATION is defined.According to Blinn-Phong model, the color of certain point in VOLUME VISUALIZATIONCIt is calculated by below equation:
Whereink a 、k d 、k s It is ambient light, diffuse-reflectance, specularity factor respectively,nIt is high optical index,HFor half-angle vector, it is positioned at normalNAnd lightLAngular bisector direction,C tf It it is the color defined by VOLUME VISUALIZATION transfer function.Consider that the illumination calculation of optical attenuation is obtained by equation below:
Whereinf att It it is optical attenuation factor.
1) the optical attenuation computational methods of topology ambiguity: optical attenuation factor is determined by the topological importance of object in data and the topology degree of depth, and the method makes object make unessential object dimmed and the illumination of important objects still highlights along with the increase of topology distance.
2) illumination calculation method based on topology relative importance: topology relative importance is the object importance relative to its adjacent object, measures according to volume, topology persistency and the distance of object.The present invention uses topology relative importance to be defined different illumination tensor, the object making topology relative importance big obtains high illumination value, and the topology little object of relative importance obtains low illumination value, thus prior object is emphasized from lighting angle and highlights.
3) illumination calculation method based on topology distance: topology distance refers to the topological degree of depth at object place in the topological representation of data.The function of present invention topology distance defines different illumination tensor, makes the object with high topology distance value obtain high illumination value, thus emphasizes the object of high topology distance value from lighting angle.
4) illumination automatic generation method based on the feel luminance difference of I: in order to automatically define different illumination parameters to object each in data, present invention two-step method is embodied as each object and automatically defines illumination: the first step is initial phase, for the initial value of each object definition illumination parameter；Second step is the optimizing phase, feel that luminance difference is as optimisation criteria with I, optimization aim is to make the I between different adjacent objects feel that luminance difference maximizes, and is optimized the illumination of each object according to the topological representation of object, thus realizes object light automatically generating according to definition.
Accompanying drawing explanation
Fig. 1 is the illumination definition method flow schematic diagram of the topology control of an embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawings and specific embodiment the present invention is described in further detail explanation.
Fig. 1 show schematically show the definition method of the VOLUME VISUALIZATION illumination that a kind of topology according to one embodiment of the present invention controls, including:
S1: calculate the topological representation of volume data；
S2: calculate the topological characteristic of data topology；
S3: based on S2, calculate the illumination decay in VOLUME VISUALIZATION；
S4: based on S2, calculate the illumination that topology relative importance determines；
S5: based on S2, calculate the illumination that topology distance determines；
S6: based on S2, carry out the calculating that illumination automatically generates.
In step sl, with topological data structure profile tree data topology can be stored and represent.
In step s 2, topological characteristic can include volume, topology persistency, the topology degree of depth, the number of father's branch of topology profile tree, the number of brother's branch.
In step s3, the optical attenuation factor in VOLUME VISUALIZATIONf att Determined by different topological characteristics, and be topology persistencypAnd brother's branch numbern s Inverse function.Therefore the optical attenuation of topology ambiguity makes the illumination rate of decay of the important object illumination rate of decay than insignificant object slowly to emphasize important objects.
In step s 4, topology relative importance refers to object relative topology importance in the regional area centered by it, can include volume and the persistent relative importance of topology.In the present invention, the illumination parameter of object in VOLUME VISUALIZATIONk a 、 k d 、 k s It is respectively defined as the positive function of topology relative importance.Therefore light based on topology relative importance impinges upon and can emphasize in VOLUME VISUALIZATION that object that relative importance is high weakens the object that relative importance is low.
In step s 5, the topological degree of depth that data topology represents is defined as topology distance.In the present invention, the illumination parameter of object in VOLUME VISUALIZATIONk a 、 k d 、 k s It is respectively defined as the positive function of topology distance.Therefore light based on topology distance impinges upon and can emphasize in VOLUME VISUALIZATION that object that topology distance is big weakens the object that topology distance is little.
In step s 6, based on the topological representation of data, use two-step method and feel that luminance difference optimization method is that in data, each object defines illumination parameter automatically based on Ik a 、 k d 、 k s .The object light using the method to automatically generate is shone and is made the light differential between adjacent objects maximize, so that the difference that user is between lighting angle perceptual object.
It is to be understood that, although this specification is been described by according to embodiment, but the most each embodiment only comprises an independent technical scheme, this narrating mode of description is only for clarity sake, those skilled in the art should be using description as an entirety, technical scheme in each embodiment can also form, through appropriately combined, other embodiments that it will be appreciated by those skilled in the art that.
The a series of detailed description of those listed above is only for illustrating of the possible embodiments of the present invention; they also are not used to limit the scope of the invention, and all Equivalent embodiments without departing from the present invention or change should be included within the scope of the present invention.
Claims (5)
1. the VOLUME VISUALIZATION illumination definition method of Topology Driven, it is characterised in that comprise the following steps:
S1: set up the topological representation of volume data；
S2: be analyzed described topological representation, generates data topology feature；
S3: the optical attenuation carrying out topology ambiguity by described topological characteristic calculates；
S4: calculate illumination based on topology relative importance by described topological characteristic；
S5: calculate illumination based on topology distance by described topological characteristic；
S6: carry out the calculating that illumination parameter automatically generates by described topological characteristic.
Method the most according to claim 1, it is characterized in that, in step S3, optical attenuation factor in the optical attenuation of topology ambiguity is determined by the topological importance of object in data and the topology degree of depth, makes object make unessential object dimmed and the illumination of important objects still highlights along with the increase of topology distance.
Method the most according to claim 1, it is characterized in that, in step S4, use topology relative importance that different illumination tensor is defined, the object making topology relative importance big obtains high illumination value, and the topology little object of relative importance obtains low illumination value, prior object is emphasized from lighting angle and highlights.
Method the most according to claim 1, it is characterised in that in step S5, uses the illumination tensor that the definition of topology distance function is different, makes the object with high topology distance value obtain high illumination value.
Method the most according to claim 1, it is characterised in that in step S6, using two-step method is that in data, each object defines illumination automatically: the first step is initial phase, for the initial value of each object definition illumination parameter；Second step is the optimizing phase, feel that luminance difference is as optimisation criteria with I, optimization aim is to make the I between different adjacent objects feel that luminance difference maximizes, and is optimized the illumination of each object according to the topological representation of object, it is achieved object light automatically generates according to definition.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1818974A (en) * | 2006-03-08 | 2006-08-16 | 杭州电子科技大学 | Multi-modality medical data three-dimensional visual method |
| CN104463198A (en) * | 2014-11-19 | 2015-03-25 | 上海电机学院 | Method for carrying out illumination estimation on real illumination environment |
| CN104484896A (en) * | 2014-10-30 | 2015-04-01 | 无锡梵天信息技术股份有限公司 | Physical method based on environment mapping for simulating human skin subsurface scattering |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1818974A (en) * | 2006-03-08 | 2006-08-16 | 杭州电子科技大学 | Multi-modality medical data three-dimensional visual method |
| CN104484896A (en) * | 2014-10-30 | 2015-04-01 | 无锡梵天信息技术股份有限公司 | Physical method based on environment mapping for simulating human skin subsurface scattering |
| CN104463198A (en) * | 2014-11-19 | 2015-03-25 | 上海电机学院 | Method for carrying out illumination estimation on real illumination environment |
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Application publication date: 20170104 |