【摘要】：為了提高圖像在受到高強(qiáng)度高斯噪聲影響下的分割效果,針對(duì)傳統(tǒng)的二維直方圖灰度-平均灰度法,平均灰度-梯度法,二維Otsu斜分法等方法一致性低、對(duì)比度低和分割不夠準(zhǔn)確的情況,現(xiàn)提出一種改進(jìn)的二維直方圖灰度-局部方差的方法。局部方差不僅綜合考慮了各像素點(diǎn)與中心像素點(diǎn)數(shù)據(jù)的離散程度,而且降低了圖像受噪聲干擾的影響。為了提高分割速度,減少計(jì)算量,使用了快速遞推算法。實(shí)驗(yàn)結(jié)果表明該方法比傳統(tǒng)的Otsu灰度-平均灰度法和平均灰度-梯度法具有更好的分割效果、一致性和對(duì)比度更高。
[Abstract]:In order to improve the segmentation effect of image under the influence of high intensity Gao Si noise, the traditional methods such as gray-average gray scale method, average gray-gradient method, two-dimension Otsu oblique method and so on, have low consistency. In the case of low contrast and inaccurate segmentation, an improved method of gray-local variance of two-dimensional histogram is proposed. The local variance not only considers the discrete degree of each pixel point and the center pixel data, but also reduces the influence of noise interference on the image. In order to improve the speed of segmentation and reduce the amount of computation, a fast recursive algorithm is used. The experimental results show that this method has better segmentation effect and higher consistency and contrast than the traditional Otsu gray-average gray-scale method and average gray-gradient method.
【作者單位】： 湘潭大學(xué)物理與光電物理學(xué)院;湘潭大學(xué)信息工程學(xué)院;
【基金】：湖南省自然科學(xué)基金資助項(xiàng)目(No.14JJ3077) 湖南省教育廳一般項(xiàng)目(No.13C917)
【分類號(hào)】：TP391.41

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