Computer aided image analysis
Identification of ultrasound image
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Digital image segmentation is one of the most important approaches to image analysis due to its importance as a post processing step and basic concept of machine vision as an effective tool for object recognition, which means data extraction. Achieving image segmentation is done by wide variety of pre-processing and other post-processing techniques where different choices of these techniques may lead to different results. The most important applications of low-intensity ultrasound are nondestructive testing of materials, tools, machine components, etc., and medical sonography. In both cases th...
Digital image segmentation is one of the most important approaches to image analysis due to its importance as a post processing step and basic concept of machine vision as an effective tool for object recognition, which means data extraction. Achieving image segmentation is done by wide variety of pre-processing and other post-processing techniques where different choices of these techniques may lead to different results. The most important applications of low-intensity ultrasound are nondestructive testing of materials, tools, machine components, etc., and medical sonography. In both cases the goal is the examination of a medium and the inhomogeneities hidden in it.
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