For example I have cell array a = { 'abc' , 'aBc' , 'xyz' , 'Xyz'}
now i need to remove the duplication.
As unique is the case sensitive, it returns the whole array.
how can i do it?
Thank you
MATLAB: Similar to unique, how can i use for case insenisitive
similar as that of unique function
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I think you've already found the relevant documentation that explains what is happening. As to why it is like that, only Mathworks can tell you. In my opinion, there are many design flaws in the way they've implemented OOP (loadobj for example).
However, in your case all your problems come from the fact that you're trying to store arrays of handle objects. This is a bit unusual. Shouldn't your objects be value class instead? With handle classes, I tend to prevent concatenation / array construction by default because the class methods are rarely designed to work with array inputs.
If you do need handle classes then I would modify the class constructor so that it can create the array directly, avoiding the user having to remember to create each array element individually:
classdef primaryClass < handle properties x myContainedClass end methods function obj = primaryClass(varargin) %call syntax:
% obj = primaryClass creates a scalar object
% obj = primaryClass(sz) creates an array of objects of size sz (sz a vector)
% obj = primaryClass(dim1, dim2, ...) creates an array of objects of size [dim1, dim2, ...]
if nargin == 0 obj.myContainedClass = secondaryClass; else sz = [varargin{:}]; %needs input checks
obj(prod(sz)) = primaryClass; %call the nargin == 0 version of the constructor
obj = reshape(obj, sz); for idx = 1:numel(obj)-1 obj(idx).myContainedClass = secondaryClass; end end end endendRemember that each method of primaryClass has to be designed to work on arrays of objects, something that is very jarring if you're used to OOP in other languages:
a = primaryClass(5,2,2);a.somemethod %the object received by somemethod will be a 5x2x2 primaryClass object.
region_minsize = 5; %for example
uvals = unique(YourArray(:));accumulated_list = struct('label', {}, 'props', {});for K = 1 : length(uvals) U = uvals(K); accumulated_list(K).label = U; BW = YourArray == U; BW2 = bwareafilt(BW, [region_minsize, inf]); %discard areas that are too small
theseprops = regionprops(BW2, 'PixelList', 'Orientation'); accumulated_list(K).props = theseprops; endThe result of this would be a structure array, one element per unique pixel value. The 'label' subfield will hold the value of the pixel being considered (in case you want to know.) The 'props' subfield will hold whatever is returned by regionprops(). regionprops returns a structure array with one field for each requested property, with one array element for each connected component. I made the assumption here that you want to (for example) consider the group of 3's in the top left as being distinct from the group in the bottom right. I also made the assumption that you probably want to know something about where the pixels are in addition to knowing the orientation. It would not surprise me if you want to add the MajorAxisLength property to the regionprops call.
bwareafilt is a relatively new routine for filtering by region size. I assumed here that you don't care about the orientation about the small groups, such as the isolated pixels, that there is a minimum size grouping that you wish to consider. If your Image Processing toolbox is not new enough to have bwareafilt() you can instead pass the unfiltered binary array in to regionprops and ask for the Area parameter as well, and then discard the elements that do not meet your specifications. For example,
theseprops = theseprops([theseprops.Area] >= 5);
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