Unlock instant, AI-driven research and patent intelligence for your innovation.

System and method for applying active appearance models to image analysis

A technology of appearance model and model, applied in the field of image analysis, which can solve the problem of uneven spatial and/or temporal distribution of lesions and regeneration targets

Inactive Publication Date: 2007-03-07
CEDARA SOFTWARE
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Other shortcomings of existing model systems include the spatially and / or temporally inhomogeneous distribution of regenerated objects of interest in images, and the lack of assistance in identifying lesions of objects of interest identified in images

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • System and method for applying active appearance models to image analysis
  • System and method for applying active appearance models to image analysis
  • System and method for applying active appearance models to image analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] image processing system

[0026] Referring to FIG. 1 , image processing computer system 10 includes memory 12 connected to processor 14 via bus 16 . The memory 12 has an Active Appearance Model (AAM) that includes a statistical model of the shape and gray levels of interest for a target object 200 (see FIG. 2 ) included in the digital image or set of digital images 18 object. AAM's statistical model object consists of two main components: a parametric 3D model20 of the object's appearance (shape and texture), and a statistical estimate22 of the relationship between parameter displacement and induced image residual, Full compositing of the shape and appearance of the target object 200 as described further below may be allowed. It is recognized that the texture of the target object 200 relates to the image intensities or pixel values ​​of individual pixels in the image 18 including the target object 200 .

[0027] The system 10 can use a training module 24 to determine...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

An image processing system and method having a statistical appearance model for interpreting a digital image. The appearance model has at least one model parameter. The system and method comprises a two dimensional first model object including an associated first statistical relationship, the first model object configured for deforming to approximate,a shape and texture of a two dimensional first target object in the digital image. Also included is a search module for selecting and applying the first model object to the image for generating a two dimensional first output object approximating the shape and texture of the first target object, the search module calculating a first error between the first output object and the first target object. Also included is an output module for providing data representing the first output object to an output. The processing system uses interpolation for improving image segmentation, as well as multiple models optimised for various target object configurations. Also included is a model labelling that is associated with model parameters, such that the labelling is attributed to solution images to aid in patient diagnosis.

Description

technical field [0001] In general, the present invention relates to image analysis using statistical models. Background technique [0002] Shape and appearance statistical models are powerful tools for interpreting digital images. Deformable statistical models have been applied to many fields including face recognition, industrial inspection, and medical image interpretation. Deformable models such as active shape models and active appearance models can be applied to images with complex and variable structures including noise and possibly resolution difficulties. In general, a shape model matches an object model to the boundaries of a target object in an image, while an appearance model uses model parameters to synthesize a complete image match using shape and texture recognition and reproduce the target object from the image. [0003] Three-dimensional statistical models of shape and appearance, such as presented by Cootes et al. at the European Symposium on Computer Visi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/20G06K9/00G06K9/62G06K9/64G06K9/74G06T5/00
CPCG06T2207/30004G06K9/621G06T7/2046G06T7/0081G06T2207/20081G06T7/0012G06T7/0089G06T7/11G06T7/149G06T7/251G06V10/7557G06T7/20
Inventor 维托里奥·阿科马齐迭戈·博尔德加里埃伦·简彼得·泰特保罗·盖尔
Owner CEDARA SOFTWARE