Fit 2D Gaussian with Optimization Toolbox

버전 1.2.0.0 (2.55 KB) 작성자: Nathan Orloff
Fit a 2D rotated gaussian. http://en.wikipedia.org/wiki/Gaussian_function
다운로드 수: 3.5K
업데이트 날짜: 2013/5/30

라이선스 보기

FMGAUSSFIT performs a gaussian fit on 3D data (x,y,z).
[fitresult,..., rr] = fmgaussfit(xx,yy,zz) uses ZZ for the surface
height. XX and YY are vectors or matrices defining the x and y
components of a surface. If XX and YY are vectors, length(XX) = n and
length(YY) = m, where [m,n] = size(Z). In this case, the vertices of the
surface faces are (XX(j), YY(i), ZZ(i,j)) triples. To create XX and YY
matrices for arbitrary domains, use the meshgrid function. FMGAUSSFIT
uses the lsqcurvefit tool, and the OPTIMZATION TOOLBOX. The initial
guess for the gaussian is places at the maxima in the ZZ plane. The fit
is restricted to be in the span of XX and YY.
See:
http://en.wikipedia.org/wiki/Gaussian_function

Examples:
To fit a 2D gaussian:
[fitresult, zfit, fiterr, zerr, resnorm, rr] =
fmgaussfit(xx,yy,zz);
See also SURF, OPTIMSET, LSQCURVEFIT, NLPARCI, NLPREDCI.

인용 양식

Nathan Orloff (2024). Fit 2D Gaussian with Optimization Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/41938-fit-2d-gaussian-with-optimization-toolbox), MATLAB Central File Exchange. 검색 날짜: .

MATLAB 릴리스 호환 정보
개발 환경: R2012b
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
카테고리
Help CenterMATLAB Answers에서 Linear and Nonlinear Regression에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
버전 게시됨 릴리스 정보
1.2.0.0

changed the commenting text

1.1.0.0

5/28/2013: Changed bounds of fit to got to 180 angle, instead of 90. Changed r^2 to include degrees of freedom +1.

1.0.0.0