摘要
结合纹理的能量特性、粗糙性、结构性等特点,根据人类视觉特性,提出了Gabor小波变换滤波器的图像纹理特征提取方法。实验结果表明,虽然图像的Gabor纹理计算量很大,但是方法是有效的。
Combing the energy, coarseness and structure property of the texture, an algorithm for image texture feature detection based on Gabor filter is proposed according to human vision characteristics. The experimental results show that it is effective for texture detection when the calculation of Gabor texture is complicated.
出处
《长春工业大学学报》
CAS
2008年第1期78-81,共4页
Journal of Changchun University of Technology
