barrett's mucosa is one of the most important diseases in upper gastrointestinal system that caused by gastroesophagus reflux. if left untreated, the disease will cause distal esophagus and gastric cardiaadenocarcinoma. the malignancy risk is very high in short segment barrett’s mucosa. therefore,lesion area segmentation can improve specialist decision for treatment. in this paper, we proposeda...

This paper presents a novel approach to automatic classifying and identifying of tree leaves using image segmentation fusion. With the development of mobile devices and remote access, automatic plant identification in images taken in natural scenes has received much attention. Image segmentation plays a key role in most plant identification methods, especially in complex background images. Wher...

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. ...

Introduction: Virtual bronchoscopy is a reliable and efficient diagnostic method for primary symptoms of lung cancer. The segmentation of airways from CT images is a critical step for numerous virtual bronchoscopy applications. Materials and Methods: To overcome the limitations of the fuzzy connectedness method, the proposed technique, called fuzzy connectivity - fuzzy C-mean (FC-FCM), utilized...

his paper presents a novel range image segmentation algorithm based on a newly proposed obust estimator: Adaptive Scale Sample Consensus (ASSC) [28]. The proposed algorithm is a odel-based top-down technique and directly extracts the required primitives (models) from the aw images. Compared with current popular methods (region-based and edge-based methods), the lgorithm is very robust to noisy ...

The general image segmentation approach used in other domains may not be applicable to the remote sensing field, which is due to the following factors: remotely sensed data is multi-spectral, always very large in size, and in multi-scale as well. How to quickly and efficiently segment remotely sensed imagery is still a big issue to be solved. Based on human vision mechanism, a new hybrid multi-...