The three image formats were greyscaled with Adobe Photoshop v4.0 or with the VisImage (v2) application. Copies of these images were then individually ...
Testing a computational model of visual complexity in background scenes. Leena N. Patel, Patrik O’Brian Holt. Image Systems Engineering Laboratory, Department of Computing and Electrical Engineering. Heriot-Watt University, Edinburgh, EH14 4AS. Abstract This paper reports the results of experiments conducted to determine whether a mathematical/computational model reflects the perception of complexity of background image scenes. Background scenes, such as landscapes, are composed of non-discrete image data. They contain repetitive patterns and colour schemes and therefore the images have to be described using pattern analysis techniques. A brief outline is given regarding the difference in composition of the foreground and background in images. Complexity measures and theories are then explored and results of a pilot test and experiment reported which correlate human perceptual data with a pattern measure which was devised by Klinger & Salingaros (1999). This measure had previously only been tested on binary data and not on more realistic image data. The results show a very strong, positive correlation (r=0.899, p
