Abstract
Image segmentation is a fundamental image processing technique to extract the required information from an image. The core element of any integrated circuit (IC) chip for signal processing is the metal oxide semiconductor field effect transistor (MOSFET). There are various limitations of MOSFET in sub-nm process technology. This work introduces the application of a new type of MOSFET, which is known as the spatial wave function switched field effect transistor (SWSFET), in the image processing application. The channel in a SWSFET is comprised of various low bandgap semiconductor layers. The charge carriers move across various channels and generate current through different drain terminals. The SWSFET is used to design a window detector which is applied in image segmentation.
Highlights
Image segmentation is a fundamental image processing technique
This work introduces the application of a new type of metal oxide semiconductor field effect transistor (MOSFET), which is known as the spatial wave function switched field effect transistor (SWSFET), in the image processing application
The SWSFET is used to design a window detector which is applied in image segmentation
Summary
Image segmentation is a fundamental image processing technique. In the image segmentation an image is segmented into different contours or sone for information extraction. The image is segmented into different contours where inner-contour pixels has some common characteristics. Most popular implementation of image segmentation is based on CMOS logic circuits. In the sub-nm range, the structural limits of the device affects the fundamental operation of the device and affects the device characteristics. The dimensions of an isolated SWSFET doesn’t increase significantly compared to a MOSFET because the multiple low bandgap channels are included inside the body of the SWSFET structure. Besides this SWSFET can produce more than two states unlike conventional MOSFET and reduce circuit element in the complex circuit design
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