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The aim of this paper is to propose a new Markov random field (MRF) model for the backscattered ultrasonic echo in order to get information about backscatter characteristics, such as the scatterer density, amplitude and spacing. The model combines the Nakagami distribution that describes the envelope of backscattered echo with spatial interaction using MRF.(More)
This paper evaluates a K-Markov random field model for retrieving information about backscatter characteristics, especially regularity spacing scatterers in simulated ultrasound image. The model combines a statistical K-distribution that describes the envelope of backscattered echo and spatial interaction given by Markov random field (MRF). Parameters(More)
The aim of this paper is to propose a new Markov Random Field (MRF) model for the backscattered ultrasonic echo in order to retrieve information about backscatter characteristics, such as the density, the scatterer amplitude, the scatterer spacing and the direction of interaction. The model combines the Nakagami distribution that describes the envelope of(More)
Homotopic grayscale thinning leads to over-connected skeleton when applied on noisy images. To avoid this phenomenon, the parametric thinning relaxes the thinning constraints by lowering low contrast crests, peaks and ends, according to a manually selected parameter and by using ascendant gray level treatment to guarantee the homotopy of the skeleton. We(More)
In this paper the Nakagami-MRF model is proposed to model the backscattered echo from tissue and at the same time the spatial interaction found in the image. This paper investigates the efficiency of the model parameters to discriminate between normal and abnormal tissue by comparing the Nakagami-MRF parameters inside and surrounding the tumor. The study of(More)
Homotopic grayscale thinning leads to over-connected skeleton when applied on noisy images. To avoid this phenomenon, the parametric thinning relaxes the initial constraint by lowering low contrast crests, peaks and ends, according to a parameter related to the noise and contrast of the image and under the constraint of ascendant gray level processing. Even(More)
Few evaluation protocols were suggested to assess quality of skeletonization methods of grayscale images. Most of these protocols employ criteria and images both devoted to target application. No common image databases are available and the validation of skeleton structural properties under grayscale object variability suffers from a lack of standardized(More)