Image to Fractal Algorithm Applications: Learning from structure and shape of naturally occurring objects.

Image to Fractal Algorithm Applications: Learning from structure and shape of naturally occurring objects.

Part 2 of the image to fractal algorithm application series.

See here for part 1.

 

Its a known fact that many naturally occurring shapes and patterns are fractal shapes. What can we learn from a naturally occurring shape such as a birds wing soaring into the wind (Figure 1)?

We can see the outline of the bird wing making several arches and shapes. When we find a fractal that closely matches this shape what can we learn from it(Figure 2)? Can we observe the surrounding fractal and find useful structures that could render potentially unknown aerodynamic shapes? The theory of natural evolution states that nature took millions of years to develop these optimal shapes for a bird to be able to fly like this.



Figure 1: bird soaring into the wind.

 


Figure 2: Similar fractal shape to bird wing shown in lower right.

 

Figure 3: Fractal shape overlayed onto bird wing.

 


Delving further into this theory; what happens if we add a small scalar to the recursive fractal equation and slightly change the shape found in the bird wing? This could potentially lead to even more discovery of relevant or useful information.

This is the basis for the spirit of this artwork and project. Hopefully with further research we can delve even further into this theory!

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