共查询到17条相似文献,搜索用时 796 毫秒
1.
2.
基于小波分析的织物疵点视觉检测方法 总被引:1,自引:0,他引:1
采用了二维离散小波变换对织物图像进行处理,根据小波变换后高、低频分量的特点,提取分解子图像特征值,送入BP神经网络进行识别,从而实现织物疵点的检测. 相似文献
3.
4.
5.
基于边缘信息的偏振图像融合算法及评价 总被引:1,自引:1,他引:0
偏振遥感图像通常都采用强度、偏振度、偏振角来表征目标偏振特性.本文提出的基于边缘信息的偏振图像融合算法是将三幅偏振图像利用离散小波变换把图像分解成不同尺度的低频和高频部分,采用小波区域窗口和子区域窗口统计把小波系数分类成边缘和非边缘系数,通过这些方法进行有效的边缘细节信息提取.在融合处理中,低频图像的小波系数平均值作为融合后的低频系数,高频细节系数根据不同区域特征选择方法以及对应输入图像小波系数的窗口区域方差来确定融合后高频小波系数.仿真实验结果表明,这样使得融合后的图像细节更真实更丰富,图像的偏振特性体现更为充分,同时减少对源图像的预处理要求,使图像在整体上有较好的视觉效果.从而证明这种方法能够在保留图像微小细节方面获得满意的结果,且算法有效性优于其他的图像融合方法. 相似文献
6.
7.
8.
基于二进小波边缘提取算法,提出一种基于后验概率模型的分类器图像融合方法。首先通过二进小波进行图像边缘检测,分别求得水平与垂直方向的边缘点,再使用最优决策函数方法对输入样本进行分析并在所有分类器中寻找一个最优的分类器,从而得到最终分类结果。该方法在图像的边缘点具有很好的分类效果等优点。 相似文献
9.
10.
11.
12.
13.
根据爆堆图像灰度分布的特点,并结合小波变换应用于边缘检测的基本原理,采用能够检测局部突变能力的B样条小波用于爆堆岩石的边缘检测。通过推导,给出B样条小波滤波器,并根据滤波器设计出了基于二维小波边缘检测算法。在小波边缘分割中自主设计了自适应阈值检测算法,该算法能很好地去除图像的噪声,并保留了图像的边缘。 相似文献
14.
15.
Chi-Hao Yeh 《国际生产研究杂志》2013,51(18):4675-4695
The objective of this paper is to implement two-dimensional wavelet transform (2-D WT) in the detection of mousebite, spur, open, and short defect candidates on ball grid array (BGA) substrate conduct paths. Once the defect candidates are located, traditional BGA substrate inspection algorithms can further detect true defects among these suspicious defects. Therefore, the scope and effort during the inspection stage can be significantly reduced. The binary BGA substrate image is processed that shows only conduct path boundaries, which are decomposed directly by 2-D WT. Then, the inter-scale ratio from the wavelet transform modulus sum (WTMS) across adjacent decomposition levels for the edge pixels on BGA substrate conduct path boundaries is calculated. Since irregular edges in a small domain can preserve much more wavelet energy, an edge pixel is considered as an abnormal one or a defect candidate if its inter-scale ratio is less than a predefined threshold. The proposed approach is template-free and easy to implement, so it is suitable for small batch production. Real BGA substrates with synthetic boundary defects are used as testing samples to evaluate the performance of the proposed approach. Experimental results show that the proposed method is able to capture all the true mousebite, spur, open, and short defects without any missing errors by appropriate wavelet basis, decomposition level, and image resolution. 相似文献
16.
Chang N. Zhang Xiangyou Wu 《International journal of imaging systems and technology》2002,12(2):51-55
In this paper, a novel image compression technique, the combination of wavelet packet transform and directional decomposition is proposed. Wavelet packet transform is an increasingly remarkable image compression approach that outperforms the standard wavelet transform in image coding. The directional filtering coding technique, one of the second‐generation image coding techniques, first introduced the concept of directional decomposition. By placing emphasis on edge detection to preserve edge information to exploit the fact that human visual systems are more sensitive to image edge features, a relatively high compression ratio can be obtained. The approach proposed in this paper decomposed an image into a low‐frequency component and a number of highfrequency components, with the edges on each high‐frequency component in its own direction. By a combined process of Cartesian coordinate rotation transform, interpolation, wavelet packet transform, and a coding algorithm, the image can be reconstructed at an improved visual quality at the same bit rate compared with the common wavelet pyramid algorithm. © 2002 Wiley Periodicals, Inc. Int J Imaging Syst Technol 12, 51–55, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.10010 相似文献