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A scheme for enhancing local contrast of ultrasound images based on multiscale morphology is presented in this paper. The conventional theoretical concept of local contrast enhancement using mathematical morphology has been applied in the field of ultrasound image processing. The main idea is to preserve speckle region unchanged and enhance tissue boundaries. The criterion of speckle region is defined...
This paper presents an adaptive edge enhancement method based on histogram matching for ultrasound images. Because of the speckle noises of ultrasound images, traditional edge enhancement methods do not work well for ultrasound images. The proposed method is to seek the regions whose edges needs to be enhanced and ruling out the error edges caused either by speckle noises or the reverberation artifacts...
One important problem in ultrasound image processing is to find the edges of structures and enhance weak borders between different organs and structures. An approach was developed that detects and enhances edges adaptively based on image block correlation technique. From the image block correlation we can get the "local correlation image" LCI. On the basis of this image we apply an adaptive...
Advancements in medical ultrasound systems, challenges both manufacturers and clinicians in finding image functions and parameters that optimize image quality. We propose a machine learning method based on data mining for finding the best data path for certain exam types. Attribute relevance analysis helps us identify weakly relevant image parameters. The searching of frequent itemsets using apriori...
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