The effect of measurement errors on adaptive and non-adaptive control charts has been occasionally considered by researchers throughout the years. However, that effect on the variable sample size and sampling interval (VSSI) control charts has not so far been investigated. In this paper, we evaluate the effect of measurement errors on the VSSI control charts. After a model development, the effe...

Contrast resolution and detail resolution are two important parameters in ultrasound imaging. This paper presents a new method to enhance these parameters, simultaneously. A parallel auxiliary beamformer has been employed whose weightings are such that an estimation of the leaked signal through the main beamformer is obtained. Then the output of main beamformer is modified according to the ...

BACKGROUND Segmentation is the most crucial part in the computer-aided bone age assessment. A well-known type of segmentation performed in the system is adaptive segmentation. While providing better result than global thresholding method, the adaptive segmentation produces a lot of unwanted noise that could affect the latter process of epiphysis extraction. METHODS A proposed method with anis...

This paper generalizes the proportionate-type adaptive algorithm to graph signal processing and proposes two recovery algorithms. The gain matrix of proportionate leads faster convergence than least mean squares (LMS) algorithm. In this paper, is obtained in a closed-form by minimizing gradient mean-square deviation (GMSD). first LMS (Pt-GLMS) which simply uses recursion process accelerates Pt-...

Breast skin–air interface and pectoral muscle segmentation are usually first steps in all CAD applications on scanned as well as digital mammograms. Breast skin–air interface segmentation is much more difficult task when performed on scanned mammograms than on digital mammograms. In case of pectoral muscle segmentation, segmentation difficulty of analog and digital mammograms is usually similar...

We present in this report an approach to automatic detection of human faces in color images. The proposed approach consists of three parts: a human skin segmentation to identify probable regions corresponding to human faces; adaptive shape analysis to separate isolated human faces from initial segmentation results; and a view-based face detection to further identify the location of each human f...

Abstract In this paper, we provide a new insight to the two-phase signal segmentation problem. We propose an augmented Lagrangian variational model based on Chan–Vese’s original one. Using both energy methods and PDE methods, show, in one-dimensional case, that set of minimizers proposed functional contains only binary functions it coincides with This fact allows us obtain two important feature...