无意识行为下多感官视觉交互界面生成仿真

Multi-Sensory Visual Interactive Interface Generation Simulation under Unconscious Behavior

传统交互界面清晰度较低、且界面生成结果与实际结果拟合度低,为此提出基于模糊中值滤波的多感官视觉交互界面生成方法。在对多感官视觉交互界面中主要内容描述的基础上,对页面图像边缘进行提取,通过计算平滑函数来获取平滑图像信号,并对页面图像做小波变换处理,检测小波变换之后页面图像的最大值,根据小波变换之后得到的信息确定图像的边缘点,计算图像的梯度向量,采用梯度向量模的局部极大值来确定页面图像的边缘;根据噪声方差和页面图像像素点数量计算阈值,利用小波阈值对页面图像去噪,提高了页面图像的清晰度,最终实现了无意识行为下多感官视觉交互界面的生成。实验结果表明,提出方法具有较好的页面图像去噪效果,不仅提高了页面图像的清晰度,还具有交互界面生成结果与实际结果拟合度高的优点。

Traditionally,the clarity of interactive interface is low and the fitting degree between the results of in⁃teractive interface generation and the actual results is low.Therefore,this paper focuses on a method of multisensory visual interface generation based on fuzzy median filter.On the basis of describing the main contents of multi-sensory visual interaction interface,the edge of page image was extracted.And then,the smoothing image signal was obtained by calculating the smoothing function,and the page image was processed by wavelet transform.Furthermore,the max⁃imum value of page image after the wavelet transform was detected and the edge points of image were determined ac⁃cording to the information after the wavelet transform.In addition,the gradient vector of image was calculated.The lo⁃cal maximum of gradient vector module was used to determine the edge of page image.According to the variance of noise and the number of pixels in page image,the threshold was calculated and the wavelet threshold was used to re⁃move noise from the page image,so that the clarity of page image was improved.Finally,the generation of multisen⁃sory visual interaction interface under unconscious behavior was achieved.Simulation results prove that the proposed method has better denoising effect on page image.The proposed method improves the clarity of page image.Mean⁃while,the method has the advantages of high fitting degree between the results of interactive interface generation and the actual results.