TransformationStudy23 is based on a unique image transformation algorithm from my Plotter Art era in the 1970's. This image is basically a test of the algorithm. Back then, representational images had to be digitized by hand and made available to the drawing program as a series of coordinate pairs. Rather than draw them sequentially the program converts the digitized data from points to separate line segments. These line segments can be shuffled and all or a portion of those line segments can be drawn to reveal all or a portion of a figure.

By superimposing two figures, one over the other, an interesting visual transformation can be made. Line segments of one image are randomly removed based on a percentage which it is drawn over another image whose line segments are added randomly with the inverse percentage. Over a series of frames, it appears that one image changes into the other.

Figure one (upper left corner) is a set of horizontal lines that I transform to a second figure (lower right corner) a set of vertical lines, over 49 frames. (The sequence represented here as 7 stacked rows of 7).

Each generative instance is rendered using 4 separate "coloring" algorithms: 1) all black lines, 2) horizontal lines on random color, vertical lines another random color, 3) horizontal lines one random color, vertical lines the RGB complement of that color and, 4) each set of vertical or horizontal line groups takes on a color based on the position of its center in a random color space. Color spaces are randomly determined for each figure.

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