Even if at first glance it may seem that some visualization function does not have the requested customization property or feature, a little digging will often find either a relevant undocumented property, or an internal object whose properties could be modified. In conclusion, there are many different ways to improve the appearance of charts in Matlab.
HFace = hBarsStruct.Face % a Quadrilateral object (.Quadrilateral)
HISTOGRAM MATLAB PATCH
% Modify the patch vertices (4 vertices per bar, column-based)ĭrawnow % this is important, won't work without this! OldWarn = warning('off','MATLAB:structOnObject') % Get access to *ALL* the object's properties % - same customizations to hAxes as done above HBars = histogram(data, 'FaceAlpha',1.0, 'EdgeColor','none') Face % a Quadrilateral object (.Quadrilateral) % Modify the patch vertices (4 vertices per bar, column-based) drawnow % this is important, won't work without this! OldWarn = warning ( 'off', 'MATLAB:structOnObject' ) % - same customizations to hAxes as done above % Get access to *ALL* the object's properties HBars = histogram (data, 'FaceAlpha', 1.0, 'EdgeColor', 'none' ) To modify the vertices, we first get the private Face property ( explanation), and then modify its vertices, keeping in mind that in this specific case the bars have 4 vertices per bar and a different vertices matrix orientation: The solution here is very similar to option #2 above, but we need to dig a bit harder to modify the patch faces, since their vertices is not exposed as a public property of the Histogram object. Let’s consider a 2 dimensional image which has values rangin. This function also displays a plot with touching bars, as above, using Quadrilateral objects (a close relative of Patch). Matlab code: Histogram equalization without using histeq function It is the re-distribution of gray level values uniformly.
The numel(f) function gives the number of elements in the array f (i.e. We get the normalized histogram using the espression: