本文關鍵詞： 高強度聚焦超聲 無損測溫 Gabor變換 灰度共生梯度矩陣　出處：《傳感技術學報》2017年11期 　論文類型：期刊論文

【摘要】：提出了一種基于Gabor變換和灰度梯度共生矩陣(CMGG)的超聲無損測溫方法。通過高強度聚焦超聲(HIFU)對新鮮離體豬肉組織進行輻照,實時獲取輻照前后的超聲圖像,對其做數字減影和Gabor濾波,提取歸一化后灰度梯度共生矩陣的二階參數梯度平均、混合熵和逆差矩作為溫度的表征參數。實驗結果表明:Gabor濾波后的灰度-梯度共生矩陣的二階參數梯度平均、混合熵和逆差矩與溫度的相關系數分別達到0.980 4、0.985 4和-0.964 4,優(yōu)于傳統(tǒng)的灰度均值法和實值Gabor系數法。Gabor濾波后的灰度-梯度共生矩陣的二階參數混合熵在37℃~55℃能較好地反映溫度變化信息,梯度平均則在55℃~85℃有更好的測溫效果。
[Abstract]:A new ultrasonic nondestructive temperature measurement method based on Gabor transform and gray-scale gradient co-occurrence matrix was proposed. High intensity focused ultrasound (HIFU) was used to irradiate fresh pork tissues in vitro. The ultrasonic images before and after irradiation were obtained in real time. Digital subtraction and Gabor filtering were performed to extract the second-order parameter gradient average of normalized gray gradient co-occurrence matrix. The experimental results show that the gray-gray-gradient co-occurrence matrix of the gray-gradient co-occurrence matrix obtained by the weighted Gabor filter has a second-order parametric gradient average. The correlation coefficients between the mixing entropy and the unfavorable moment and the temperature are 0.9804 ~ 0.985 4 and -0.964 4, respectively. The mixed entropy of second-order parameters of gray-gradient co-occurrence matrix is better than the traditional gray mean method and real Gabor coefficient method. It can reflect the temperature change information at 37 鈩，

本文編號：1477509