Watershed for Segmentation the Decor of Zellij
نویسندگان
چکیده
The objective of this work is to propose a segmentation method for retrieval images of Arabo-Moresque decors. It is a hierarchical segmentation using two successive watershed algorithm. The first watershed based on the Meyer's algorithm allows of identifies the germs which serve for the second watershed segmentation to achieve the segmentation. The proposed method is evaluated by using an Arabo-Moresque decor database, built for the ûrpose of this work. The performance of the method is measured by the accuracy to extract the
منابع مشابه
A Novel Spot-Enhancement Anisotropic Diffusion Method for the Improvement of Segmentation in Two-dimensional Gel Electrophoresis Images, Based on the Watershed Transform Algorithm
Introduction Two-dimensional gel electrophoresis (2DGE) is a powerful technique in proteomics for protein separation. In this technique, spot segmentation is an essential stage, which can be challenging due to problems such as overlapping spots, streaks, artifacts and noise. Watershed transform is one of the common methods for image segmentation. Nevertheless, in 2DGE image segmentation, the no...
متن کاملHigh Performance Implementation of Fuzzy C-Means and Watershed Algorithms for MRI Segmentation
Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...
متن کاملHigh Performance Implementation of Fuzzy C-Means and Watershed Algorithms for MRI Segmentation
Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...
متن کاملEvaluation of methods of co-segmentation on PET/CT images of lung tumor: simulation study
Introduction: Lung cancer is one of the most common causes of cancer-related deaths worldwide. Nowadays PET/CT plays an essential role in radiotherapy planning specially for lung tumors as it provides anatomical and functional information simultaneously that is effective in accurate tumor delineation. The optimal segmentation method has not been introduced yet, however several ...
متن کاملAutomatic Sperm Analysis in Microscopic Images of Human Semen: Segmentation Using Minimization of Information Distance
Introduction The morphologic features of human sperms are key indicators for monitoring fertility problems in men. Therefore, automated analyzing methods via microscopic videos have become the most favorite policy in infertility treatment during the last decades. Materials and Methods In the proposed method, firstly a hypothesis testing framework was defined to distinguish sperms from backgroun...
متن کامل