Horizontal Landscape Detection

I am interested in the concept and creation of landscape which is often thought of as inherent and unchanging instead of having a history. Using computer vision software I explore how landscape images are constructed. Algorithms that include or exclude different criteria such as shapes, people, colors, textures, motion and other compositional elements let me investigate what elements make up a photograph that is majestic or bleak or one that doesn't qualify as a landscape at all. In this series white lines show where edges are detected within the image while the red lines show where areas of contrast connect to create a horizontal plane. The amount of these elements within an image identify it's shape, varying depths and horizontal strata. By identifying landscapes and the elements that are traditionally thought of as sublime or powerful I can begin to understand how we imagine and create our idea of the natural world and how we define our relationship with it.