نتایج جستجو برای: principle component analyses
تعداد نتایج: 1109599 فیلتر نتایج به سال:
Although many modern imaging systems are still producing grayscale images, colored-images are more preferred for the larger amount of information they are carrying. Computing the grayscale representation of a color image is a straightforward task, while the inverse problem has no objective solution. The search through out literature has not revealed much history of the past works. In this paper...
In the beginning stage, face verification is done using easy method of geometric algorithm models, but the verification route has now developed into a scientific progress of complicated geometric representation and matching process. In modern time the skill have enhanced face detection system into the vigorous focal point. Researcher’s currently undergoing strong research on finding face recogn...
We present a method for analyzing and resynthesizing inhomogeneously textured regions in images for the purpose of advanced compression. We first define image blocks in a way that they cover regions with homogenious texture. These blocks are transformed each in turn. For the transform we use the so called Principle Component Analysis. After the transform into the new domain we statistically ana...
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...
In this paper, a review on the latest methodologies and application of the Principle Component Analysis (PCA) has been done in the area of image processing. Exploring basic theory of multivariate analysis, which involves a mathematical procedure to transform a number of correlated variables into a number of uncorrelated variables have been studied, compared and analyzed for better performance. ...
In this paper, a new fault identification procedure based on Kernel Principal Component Analysis (KPCA) is proposed. In contrast to the linear PCA, a key disadvantage of the KPCA is that it cannot be used directly for fault identification, e.g. using contribution plots. Therefore, a fault identification strategy based on the power series approximation of the kernel functions is proposed. To dem...
Transmission of blast waves is a complex phenomenon and the characteristics vary with blast design parameters and geo-technical properties of medium. Frequency of vibration and triggering component for structural excitation generally quantifies safe vibration magnitude. At closer distance or higher elevations than the blast locations, vertical or transverse component will be the first arrival t...
the measurement of wheat crop yield in large areas is time consuming and requires high expenses. one way to save time and cost, using geostatistical methods for mapping crop yield. in this research principle component analysis were used for identifying variables that have correlation with each other, and kriging and cokriging were used to map crop yield prediction. fourty six samples were used ...
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