This paper presents a model of preattentive texture boundary detection. This model is constracted based on physiological and psychological data. The model consists of three stages. In the first stage Gabor filter decomposition provides representations of an image : orientation selectivity, spatial frequency. Following this, five modules for feature extraction are introduced : brightness contrast, scale contrast, orientation contrast, hyper-orientation contrast and end-of-line density contranst. Each module outputs high value where its feature's value change quickly among neighbouring area. In the final stage these information are compared and intergrared into the final output. The model has been tested with several classical stimuli from psychophysical literature. According to the results of experiments, this model has an ability to detect texture boundaries where we perceive ones in preattentive process.