Upload an image if you want further advice. For certain other cases (radiology and fluorescence) you should do subtraction. Finally, division is the right way to do it in most cases. The fminbnd command in MATLAB can be used to find the value of a single parameter of a function that will minimize the value of the function on some bounded domain. Do you have a uniform background that you can image? Or all you have is the image with your scene and illumination combined? If, unfortunately, you have the latter case, you can either try homomorphic filtering (basically assuming the light pattern is a very low pass filtered version of your scene) or try to find "holes" in your scene that is pure background and then try to fit a nice smooth model, like a 2D polynomial, to them. But even then, there are flaws with that method such that you will increase the noise and have quantization/posterization errors. i have set that contain complex number, then i get the greatest value using max function and get the smallest value using min function. ymax ind max (y) xmax x (ind) gave you the point xmax,ymax for the function y, with the limitations that 1 the precision of the maximum value is limited by the fineness of the x array, 2 the global max is only going to be found if its within the domain of the specified x, and 3 if the max is not unique, you will find. function y triangle(x) y max(1-abs(x),0) end. the usual definition of a local maximum is that a pixel is considered to be a local maximum if and only if it is greater than or equal to all of its immediate neighbors. ![]() I do background correction all the time and this would not be a good way of getting the background unless your background was uniform and had small light-colored dust on it. Find the treasures in MATLAB Central and discover how the community can help you. There are 2 main methods depending on the nature of the data. Suppose you have some data in a vector y and you want to find the local maxima and minima. Find local min and max values of experimental data with Matlab Suppose you have some data in a vector y and you want to find the local maxima and minima. ![]() ![]() It is not a way to get the illumination pattern that I've ever heard of. Find local min and max values of experimental data with Matlab. For example, islocalmin (A,2) finds the local minimum of each row of a matrix A. Doing a max filter on the output of the min filter is called a morphological opening and is done by imopen().
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |