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Noise on scanning electron microscope (SEM) images is studied. Gaussian noise is the most common type of noise in SEM image. We developed a new noise reduction filter based on the Wiener filter. We compared the performance of this new filter namely adaptive noise Wiener (ANW) filter, with four common existing filters as well as average filter, median filter, Gaussian smoothing filter and the Wiener...
Detecting conjugate pairs in images, known as correspondence problem is one the most challenging tasks in computer vision and image processing. In this paper we develop a phase correlation based technique to find the correspondence objects in stereo images. We use the Clifford Fourier transform to obtain phase correlation on color stereo images. With the developed Clifford phase correlation technique...
Quadrotors often require high accelerations in order to surpass the lift off barrier of gravity. Most system control techniques however are driven by the rate of error, thus as the quadrotor initially moves from ground position, the error rate is very high and in turn results in aggressive counter action from normal trajectory controllers. This in turn produces jerk. The more the jerk the greater...
An improvement to the previously proposed adaptive Canny optimization technique for scanning electron microscope image colorization is reported. The additional feature, called pseudo‐mapping technique, is that the grayscale markings are temporarily mapped to a set of pre‐defined pseudo‐color map as a mean to instill color information for grayscale colors in chrominance channels. This allows the presence...
Magnetic resonance imaging (MRI) has higher sensitivity than mammography in breast cancer detection. However, the low contrast images produced often process difficulties in segmenting the images into regions of interest. There are various contrast enhancement techniques proposed over the years. Although these techniques shows evident contrast enhancement on general images, most of them are not suitable...
A number of techniques have been proposed during the last three decades for noise variance and signal‐to‐noise ratio (SNR) estimation in digital images. While some methods have shown reliability and accuracy in SNR and noise variance estimations, other methods are dependent on the nature of the images and perform well on a limited number of image types. In this article, we prove the accuracy and the...
Detection of cracks from stainless steel pipe images is done using contrast stretching technique. The technique is based on an image filter technique through mathematical morphology that can expose the cracks. The cracks are highlighted and noise removal is done efficiently while still retaining the edges. An automated crack detection system with a camera platform has been successfully implemented...
A new and robust parameter estimation technique, named image noise cross‐correlation, is proposed to predict the signal‐to‐noise ratio (SNR) of scanning electron microscope images. The results of SNR and variance estimation values are tested and compared with nearest neighborhood and first‐order interpolation. Overall, the proposed method is best as its estimations for the noise‐free peak and SNR...
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