Application of a wavelet thresholding algorithm for contrast enhancement of mammograms

Author(s):  
Amutha Somasundaram ◽  
Amaresha Shridhar Konar ◽  
Radhakrishna Anantha Padmanabha ◽  
Ramesh Babu D.R ◽  
Sairam Geethanath
2015 ◽  
Vol 07 (03) ◽  
pp. 53-60 ◽  
Author(s):  
Mohammad Monirujjaman Khan ◽  
Ratil Hasnat Ashique ◽  
Badrun Naher Liya ◽  
Md. Mohsin Sajjad ◽  
Md. Anisur Rahman ◽  
...  

2013 ◽  
Vol 658 ◽  
pp. 89-92
Author(s):  
Shou Shan Liu ◽  
Chuan Jiang Wang ◽  
Li Jun Bi ◽  
Chang Zhi Lv

In this paper, for the purpose of ultrasonic signal compression and the coherent noise depressing in nondestructive test of aluminum alloy forging, the mathematical model of defect echoes is discussed and confirmed. And then the wavelet kernel is also confirmed according the waveform of the defect echoes. As the algorithms of standard hard thresholding and soft thresholding of wavelet transform can not bring out effective compression and depression to the coherent noise, an adaptive wavelet thresholding algorithm is introduced. Experimental results indicate that the adaptive wavelet thresholding algorithm can offer effective signal compression and depression to the coherent noise.


Author(s):  
H.T. Pearce-Percy

Recently an energy analyser of the uniform magnetic sector type has been installd in a 100KV microscope. This microscope can be used in the STEM mode. The sector is of conventional design (Fig. 1). The bending angle was chosen to be 90° for ease of construction. The bending radius (ρ) is 20 cm. and the object and image distances are 42.5 cm. and 30.0 cm. respectively.


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