Automatic selection and fusion of color spaces for image thresholding

作者：Razmjooy Navid; Mousavi B Somayeh^*; Khalilpour Mohsen; Hosseini Hossein

来源：Signal, Image and Video Processing, 2014, 8(4): 603-614.

DOI：10.1007/s11760-012-0303-7

• Color model
• Automatic selection
• Gaussian low-pass filter
• Subtractive clustering
• Mahalonobis distance

Automatic selection of color models has a great significance for machine vision purposes like image segmentation, object recognition, etc. Typically, selection of a proper color model is a problem that can just solve by testing the models on the target one by one. To achieve a proper color model, in this article, we propose a new method which is shaped on the basis of clustering and relation among models. The proposed method is verified experimentally for two different images (in thresholding purpose). The experimental results show that this method has a suitable power for automatic purposes.

• 出版日期2014-5