Tag Archives: image analysis

Interfacing an EVO with external analysis

image_analysisEVOs may be good at visualizing environmental systems and processes but are often less suitable for analysis of the emerging patterns. If there is a strong desire to couple visualization with analysis, a solution may be to interface the visualization outcome with analysis by external software.

In a recent project the development of wheat in an agricultural field was visualized in relation to nutrient patchiness. The colour- and transparency-coded representation of wheat fitness and density cannot be easily analyzed within the EVO. A working solution is to take a birds-eye snaphot of the field and analyze the image with specialized tools in Adobe® Photoshop™. In this case, colour range selection filters were adjusted such as to detect areas in the image that represent different classes of wheat fitness. The corresponding areas can then be calculated as percentages and compared between various simulated treatments.

Context-dependent visualization

ShopStrip_PosDepParticlesThere is a variety of ways objects or other phenomena in an environmental system could be visualized in a context-dependent manner. In this example particles (stylized plants) are differently coloured depending on local density: Plants that are surrounded by many neighbours are tinted red, whereas those that grow in low density are tinted green. EVO routines have been developed that combine kernel (image-analysis) functions with querying particle properties spatially explicitely to provide context-dependent colour patterns.