The application of digital radiography detectors has attracted increasing attention in both medicine and industry. Since the imaging detectors are fabricated by semiconductor manufacturing process over large areas, defective pixels in the detectors are unavoidable. Moreover, the radiation damage due to the routine use of the detectors progressively increases the density of defective pixels. In this study, we present a method of identifying defective pixels in digital radiography detectors based on wavelet analysis. Artifacts generated due to wavelet transformations have been prevented by an additional local threshold method. The proposed method was applied to a sample digital radiography and the result was promising. The proposed method use...
Most often medical images such as X-Rays have a low dynamic range and many of their targetedfeatures...
In the paper the use of wavelet transformation for valorization of random noise content in photogram...
Illustration of the state-of-the-art development of detectors for digital radiography
The application of digital radiography detectors has attracted increasing attention in both medicine...
This paper describes the development of a mathematical model of new digital x-ray technologies and i...
This paper describes the development of a mathematical model of new digital x-ray technologies and i...
This article explores the phenomenon of dark current random telegraph signal (DC-RTS) noise in comme...
International audienceThis paper presents the construction process of defective pixel detection and ...
Abstract—Mammographic screening is the most effective pro-cedure for the early detection of breast c...
Digital imager pixels are shrinking resulting in an increased rate of pixel defects. These defects a...
Breast cancer is the main cause of death for women between the ages of 35 to 55. Mammogram breast X-...
International audienceThis paper presents the construction of a control loop for the concealment of ...
The reliability of solid-state image sensors is limited by the development of defects, particularly ...
Medical image processing algorithms significantly affect the precision of disease diagnostic process...
This paper introduces certain innovative algorithms to mask for pixel defects seen in image sensors....
Most often medical images such as X-Rays have a low dynamic range and many of their targetedfeatures...
In the paper the use of wavelet transformation for valorization of random noise content in photogram...
Illustration of the state-of-the-art development of detectors for digital radiography
The application of digital radiography detectors has attracted increasing attention in both medicine...
This paper describes the development of a mathematical model of new digital x-ray technologies and i...
This paper describes the development of a mathematical model of new digital x-ray technologies and i...
This article explores the phenomenon of dark current random telegraph signal (DC-RTS) noise in comme...
International audienceThis paper presents the construction process of defective pixel detection and ...
Abstract—Mammographic screening is the most effective pro-cedure for the early detection of breast c...
Digital imager pixels are shrinking resulting in an increased rate of pixel defects. These defects a...
Breast cancer is the main cause of death for women between the ages of 35 to 55. Mammogram breast X-...
International audienceThis paper presents the construction of a control loop for the concealment of ...
The reliability of solid-state image sensors is limited by the development of defects, particularly ...
Medical image processing algorithms significantly affect the precision of disease diagnostic process...
This paper introduces certain innovative algorithms to mask for pixel defects seen in image sensors....
Most often medical images such as X-Rays have a low dynamic range and many of their targetedfeatures...
In the paper the use of wavelet transformation for valorization of random noise content in photogram...
Illustration of the state-of-the-art development of detectors for digital radiography