In the last few years, Run-to-Run (R2R) control techniques have been developed and used to control various processes in industries. These techniques combine response surface, statistical process control, and feedback control techniques. The R2R controller consists of a linear regression model that relates input variables to output variables using Exponentially Weighted Moving Average (EWMA). In...

Purpose: Non-cancerous prostate lesions such as prostate calcification, prostate enlargement, and prostate inflammation cause too many problems for men’s health. This research proposes a novel approach, a combination of image processing techniques and deep learning methods for classification and segmentation of the prostate in CT-scan images by considering the experienced physicians’ reports. ...

background: the infection after total hip arthroplasty is one of the major and catastrophic complications and often cause multiple procedures, heavy cost and life threatens and disability for the patient. in this study, we report our experience about infected total hip arthroplasty. methods: in this study, among patients referred to kashani hospital in isfahan, iran from 2001 to 2007, 659 patie...

Three-dimensional Ultrasound image segmentation methods are surveyed in this paper. The focus of this report is to investigate applications of these techniques and a review of the original ideas and concepts. Although many two-dimensional image segmentation in the literature have been considered as a threedimensional approach by mistake but we review them as a three-dimensional technique. We se...

− The success of Artificial Neural Networks (ANNs) has been prominent in many real-world applications including handwriting recognition. This paper compares two techniques for the task of segmenting touching and cursive handwriting. The first technique uses a conventional heuristic algorithm to detect prospective segmentation points in handwritten words. For each segmentation point a character ...

-Many image segmentation techniques are available in the literature. Some of these techniques use only the gray level histogram, some use spatial details while others use fuzzy set theoretic approaches. Most of these techniques are not suitable for noisy environments. Some works have been done using the Markov Random Field (MRF) model which is robust to noise, but is computationally involved. N...

In this paper, a modified segmentation algorithm for printed Farsi words is presented. This algorithm is based on a previous work by Azmi that uses the conditional labeling of the upper contour to find the segmentation points. The main objective is to improve the segmentation results for low quality prints. To achieve this, various modifications on local baseline detection, contour labeling an...

segmentation is a low level operation concerned with partitioning of images by determining similarity or discontinuity , or equivalently , by finding edges or boundaries’. image segmentation is the process of partitioning an image into multiple partitions, so as to change the epitomization of an image into something that is more meaningful and easier to analyze . Several general-purpose algorit...

This chapter briefly accounts for the basic feature extraction techniques and the segmentation schemes used in the field of color texture segmentation and reviews some of the popular modern approaches for colortexture segmentation. Color and texture are widely accepted as being two key issues in image analysis. During the past decades numerous approaches for color-texture segmentation have been...

In the last few years, Run-to-Run (R2R) control techniques have been developed and used to control various processes in industries. These techniques combine response surface, statistical process control, and feedback control techniques. The R2R controller consists of a linear regression model that relates input variables to output variables using Exponentially Weighted Moving Average (EWMA). In...