Regarding the fact that space target recognition is a challenging research problem, this paper proposes a space target recognition algorithm based on the two-dimensional wavelet transform.
对于空间目标识别这个具有挑战性的研究课题，提出了基于二维小波变换的空间目标识别算法。
Aiming at the bad contrast of infrared image and big noise, this article gives out an arithmetic of image enhancement based on the disperse of two-dimensional and wavelet transform.
针对红外图像对比度差、噪声较大的缺点，提出一种基于二维离散小波变换的红外图像增强方法。
A quadratic lubricity wavelet as wavelet function was defined to do the two dimensional dyadic wavelet transform on fruit infrared image, and to get local modulus maxima from the results.
以二次光滑小波作为小波函数，对水果红外图像进行二维二进小波变换，计算了小波变换结果的局部模极大值点，从而得到了水果红外图像的轮廓。
A quadratic lubricity wavelet as wavelet function was defined to do the two dimensional dyadic wavelet transform on fruit infrared image, and to get local modulus maxima from the results.
以二次光滑小波作为小波函数，对水果红外图像进行二维二进小波变换，计算了小波变换结果的局部模极大值点，从而得到了水果红外图像的轮廓。
应用推荐