Dose Colour Have Influence On Global Properties Of Nature Scene Recognition?

The present research examines whether changing the colour feature of images would lead to different results of scene recognition during global property discrimination tasks. Here we investigated Olive's framework of rapid scene categorization. In their mod that scene categorization does not just simply segments a scene into objects and instead uses a vocabulary of global, ecological properties that describe spatial and functional aspects of scene space (such as navigability or mean depth). Our research had found strong evidences to support this theory. Beside that we also discussed the different effects of two processing of scene recognition. In Experiment 1, we obtained ground truth rankings on global properties for use in Experiments 2 and 3. In Experiment 2, we found that change the illumination of images does not to influence the scene recognition. In Experiment 3, we found that colour feature does not cause statistical effect during scene recognition on global property level. These results provide support for the hypothesis that rapid recognition of natural scenes may not be mediated primarily though objects and parts, but also through global properties of structure and affordance. Moreover we discuss the relationship of global features and local features processing during scene recognition.