Determining the slope between relevant 2d objects

Hello all, included I have my post processed image where I've done a lot of things to it, but basically got it to this post watershed state where the edges are quite segmented.

The idea here is I want to take the slope of the objects, then be able to draw some sort of conclusion from it. For example, if I were to draw a slope along the right side set of objects, would I get a regular gradual slope, or something more like a spline curve?

Main questions:

1. How do I extract the x-y coordinates from those identified objects?

2. Is it possible to draw a 'best fit line' of sorts between the right hand objects (ignoring the ones on the left?)

Thanks!

[jonas]

How did you identify the objects? Can you post the code or a sample code?

From the name of the file I assume you used CC=BwConncomp. The output of that function includes a field CC.PixelIdxList, where the connected pixels for each object are stored.

Answer 1

[Image Analyst]

Why not take the points and use poly2mask() to create a solid binary image mask from them?

Then you can call bwperim() or bwboundaries() to get the boundary/outline coordinates for every adjacent pixel.

[Kimo Kalip]

I'll try this out, thank you!

[Kimo Kalip]

Lets say I wanted to grab four points:

(Smallest x value, corresponding y value)

(Corresponding x value, smallest y value)

(Corresponding x value, highest y value)

(Highest x value, corresponding y value)

First off, how do I extract those particular numbers from the matrix containing the image? Secondly, do you think that would draw a box around my object that I could take the area of, and then try to work from there?

Kinda going off of the image in:

https://blogs.mathworks.com/steve/2006/12/05/poly2mask-and-roipoly-part-1/

Also, is the xi and yi values given in:

BW = poly2mask(xi,yi,m,n)

Are these arrays that I pass in those values that I want?