针对皮肤图像清晰度评价方法的研究

Research on Clarity-evaluation-method for skin image

离焦模糊图像清晰度评价函数是采用数字图像处理技术实现自动调焦的一个关键。需要不断地提高评价函数的准确性和有效性。通过深入研究各种皮肤图像梯度分布情况以及灰度共生矩阵的纹理特征函数,本文提出基于梯度和灰度共生矩阵阈值法,建立了上述评价函数的数学模型。给出了实验结果和分析。这样可以突出清晰皮肤图像的优势。易于准确判断。

The clarity-evaluation-function of out -of-focus blurred image is a key factor for auto-focusing by digital image processing and the accuracy and efficiency of the function need to be improved. After deep study of the gradients of various images and texture feature function of gray-level co-occurrence matrix, the paper put forward a threshold method based on gray-level gradient and gray-level co-occurrence matrix. The mathematical model is established individually, and the experimental results and analysis are also given. And then the advantages of focused image are obviously showed.