Visible spectrum: When we observe an object, we see the spectrum reflected by this object. Our field of vision allows us to acquire diverse information about the viewed object; In other words, our mind automatically processes the image and we can have information such as height, width, shape and many others, and thus we can make decisions about what we see.
Unified spectrum: A common visible spectrum is made up of several wavelengths that are captured by our eyes, and processed by our brain. As the complete analysis of the entire visible spectrum of an anatomical object is very complex. Unification to one wavelength would help facilitate the processing of object information.
Unifying a spectrum: An interesting way to observe the unification of a spectrum is to visualize its projected shadow. A cast shadow is made up of an object, a screen and a light source, as in the image. But better visualization requires a three-dimensional analysis of the object, so with three projections we can have better data about the three-dimensionality of the object in the image.
Thus, the intersection of the three projections gives us a good view of the object, in this image, and thus through analysis we arrive at the image of the original Object.
How to acquire and analyze spectra: 3D meshes of human and other shapes were used as templates. The rendering system was used (PovRay), the programming system in this case was used (Java), the System (NetBeans) and Image conversion filters.
Shadow and spectrum: We saw that projection in three dimensional axes helps us to return data to the original object, based on its projected shadow. In this study we will examine the spectrum of the object, and through this spectrum we will simplify it until it looks like a projected shadow.
When observing the object directly on an axis, we see in the image, the scenes around the object can interfere with our examination of the object, so we must ensure that the background is in just one color spectrum. Now we have the image of the object, and it is easily distinguished from the previous image.
