公开(公告)号：US09076223B1

公开(公告)日：2015-07-07

申请号：US13777695

申请日：2013-02-26

Applicant: THE MATHWORKS, INC.

Inventor： Spandan Tiwari ,  Steven L. Eddins

IPC: G06T7/00

CPC classification number: G06T7/0089 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/20116

Abstract: A device is configured to determine a contour vector that delineates an object in an image from a remaining portion of the image, and to generate a hash value by applying a hash function to the contour vector. The device is configured to compare the hash value to a previous hash value generated by applying the hash function to a previous contour vector, where the previous contour vector is determined prior to determining the contour vector. The device is configured to determine that the hash value matches the previous hash value and, based on determining that the hash value matches the previous hash value, segment the image using the contour vector.

Abstract translation: 设备被配置为确定从图像的剩余部分描绘图像中的对象的轮廓矢量，并且通过对轮廓矢量应用散列函数来生成哈希值。 该设备被配置为将散列值与通过将散列函数应用于先前轮廓矢量而生成的先前散列值进行比较，其中先前的轮廓矢量在确定轮廓矢量之前被确定。 该设备被配置为确定散列值与先前的散列值相匹配，并且基于确定散列值与先前的散列值相匹配，使用轮廓向量来分割图像。

公开(公告)号：US09142184B1

公开(公告)日：2015-09-22

申请号：US13834957

申请日：2013-03-15

Applicant: The MathWorks, Inc.

Inventor： Spandan Tiwari ,  Steven L. Eddins ,  Jeff D. Mather ,  Alexander J. Taylor ,  Ashish Uthama ,  Mara M. Yale

IPC: G09G5/00

CPC classification number: G09G5/00 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/20096

Abstract: A device receives an image for an active contour model, where the active contour model includes a first module and a second module. The device receives an initial contour for the image and the active contour model, and executes a speed function of the first module, based on the image and the initial contour, to generate a speed function result. The device executes a numerical minimization method of the second module, based on the image and the speed function result, to generate a final contour, and provides the image and the final contour for display.

Abstract translation: 设备接收用于主动轮廓模型的图像，其中主动轮廓模型包括第一模块和第二模块。 该装置接收图像和主动轮廓模型的初始轮廓，并且基于图像和初始轮廓执行第一模块的速度函数，以产生速度函数结果。 该装置基于图像和速度函数结果执行第二模块的数值最小化方法，以生成最终轮廓，并提供图像和最终轮廓以进行显示。