An Improved Approach for Image Matching Using Principle Component Analysis
نویسندگان
چکیده
The traditional NCC algorithm has considerable computational burden, but is with high rate of matching accuracy when people use it in image matching. The PCA algorithm has high matching speed and can be anti-interference when it is used in image matching. Based on experiment, we propose one improved algorithm which can greatly reduce the matching time as well as get high rate of matching accuracy.
منابع مشابه
Improving the quality of images synthesized by discrete cosines transform – regression based method using principle component analysis
Purpose: Different views of an individuals’ image may be required for proper face recognition. Recently, discrete cosines transform (DCT) based method has been used to synthesize virtual views of an image using only one frontal image. In this work the performance of two different algorithms was examined to produce virtual views of one frontal image. Materials and Methods: Two new meth...
متن کاملA Nonlinear Grayscale Morphological and Unsupervised method for Human Facial Synthesis Based on an Example Image
Human facial generation of example image is used as a requirement for biometric applications for the purpose of identifying individuals. In this paper, face generation consists of three main steps. In the first step, detection of significant lines and edges of the example image are carried out using nonlinear grayscale morphology. Then, hair areas are identified from the face of sample. The fin...
متن کاملFaults and fractures detection in 2D seismic data based on principal component analysis
Various approached have been introduced to extract as much as information form seismic image for any specific reservoir or geological study. Modeling of faults and fractures are among the most attracted objects for interpretation in geological study on seismic images that several strategies have been presented for this specific purpose. In this study, we have presented a modified approach of ap...
متن کاملAccurate Fruits Fault Detection in Agricultural Goods using an Efficient Algorithm
The main purpose of this paper was to introduce an efficient algorithm for fault identification in fruits images. First, input image was de-noised using the combination of Block Matching and 3D filtering (BM3D) and Principle Component Analysis (PCA) model. Afterward, in order to reduce the size of images and increase the execution speed, refined Discrete Cosine Transform (DCT) algorithm was uti...
متن کاملColor scene transform between images using Rosenfeld-Kak histogram matching method
In digital color imaging, it is of interest to transform the color scene of an image to the other. Some attempts have been done in this case using, for example, lαβ color space, principal component analysis and recently histogram rescaling method. In this research, a novel method is proposed based on the Resenfeld and Kak histogram matching algorithm. It is suggested that to transform the color...
متن کامل