基于Gabor滤波器的皮肤纹理图像增强

Enhancement of Skin Texture Images Based on Gabor Filter

在疗效化妆品中,常常需要对护肤品的性能和效果进行分析。皮肤纹理的检测是客观衡量疗效化妆品的有效手段。基于计算机视觉技术的皮肤纹理分析,对拍摄的皮肤图像要进行图像预处理,增强图像,为后续的分析提供有效的数据。采用经过微调的定向的Gabor滤波器进行增强图像,通过实验得出Gabor滤波器不仅抑制噪声的效果好,还保留了皮肤图像的整体和局部特征。

For cosmetics, the performance and effectiveness of cosmetics often need to be analyzed. Skin texture is an effective and objective means of detecting the efficacy of cosmetics. Analyzing the skin texture based on computer vision technology, which need image pre-processing and image enhancement, provides valuable data for the next analysis . By fltering the skin texture image with finely tuned oriented Gabor filters, an enhanced skin image is created. Gabor filter works well not only by experimentally derived noise suppression effect, it also retained the overall and local features skin amage.