background: since tumors located in thorax region of body mainly move due to respiration, in the modern radiotherapy, there have been many attempts such as; external markers, strain gage and spirometer represent for monitoring patients’ breathing signal. with the advent of fluoroscopy technique, indirect methods were proposed as an alternative approach to extract patients’ breathing signals. ma...

Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...

Image segmentation places an important role in image processing. This segmentation process can be done using various techniques like clustering, thresholding, edge detection and region extraction. This paper gives introduction to image processing operations and clustering process. Then the overview and algorithmic process of each clustering technique such as K-Means clustering, Kernel K-Means c...

Change detection algorithms play a vital role in overseeing the transformations on the earth surface. Unsupervised change detection has an indispensable role in an immense range of applications like remote sensing, motion detection, environmental monitoring, medical diagnosis, damage assessment, agricultural surveys, surveillance etc. In this paper, a novel method for unsupervised change detect...

This thesis proposes a new method for unsupervised image clustering using probabilistic continuous models and information theoretic principles. Image clustering relates to content-based image retrieval systems. It enables the implementation of efficient retrieval algorithms and the creation of a user friendly interface to the database. The thesis presents a coherent theory for continuous probab...