Attention selection model using Weight Adjusted Topological properties and quantification evaluating criterion

Topological properties have important function in human beings visual attention. TPQFT (Topological properties based Phase spectrum of Quaternion Fourier Transform) model is an attention selection model using topological properties expression we have introduced. A new quantification criterion to evaluate every channel´s contribution and model´s performance is proposed in this paper and used in TPQFT. This paper improves TPQFT model in several aspects and WTPQFT (Weight Adjusted Topological properties based Phase spectrum of Quaternion Fourier Transform) model is introduced. The experimental results show that WTPQFT model reflects the real attention selection more accurately than TPQFT and PQFT (Phase spectrum of Quaternion Fourier Transform) method.