Andere Kunden interessierten sich auch für
![Segmentation of Lung CT Images and Barnett's conjecture]( "Segmentation of Lung CT Images and Barnett's conjecture")
Segmentation of Lung CT Images and Barnett's conjecture26,99 €![Research Methods on Denoising of Grayscale Images]( "Research Methods on Denoising of Grayscale Images")
Research Methods on Denoising of Grayscale Images36,99 €![Energy Efficient Low Energy]( "Energy Efficient Low Energy")
Energy Efficient Low Energy26,99 €![Response of human body in sitting posture when exposed to vibrations]( "Response of human body in sitting posture when exposed to vibrations")
Response of human body in sitting posture when exposed to vibrations26,99 €![Introduction To Compression Algorithms For Medical Images]( "Introduction To Compression Algorithms For Medical Images")
Introduction To Compression Algorithms For Medical Images26,99 €![Nanostructured lipid carriers as efficient carrier for oral delivery]( "Nanostructured lipid carriers as efficient carrier for oral delivery")
Nanostructured lipid carriers as efficient carrier for oral delivery26,99 €![Nitrate in drinking water and their efficient removal from water]( "Nitrate in drinking water and their efficient removal from water")
Nitrate in drinking water and their efficient removal from water26,99 €
The book presents a new approach for efficient gridding and segmantation of microarray images. The Stationary Wavelet Transform is used for preprocessing of microarray images followed by Thresholding methods for segmentation. The global and local thresholding techniques are combined to improve the accuracy of segmentation and the log intensity ratio. The microarray images are taken from Standford Microarray Database. The proposed approach is reliable means for estimating gene expression than existing methods.