distribution of retinal blood vessels (rbvs) in retinal images has an important role in the prevention, diagnosis, monitoring and treatment of diseases, such as diabetes, high blood pressure, or heart disease. therefore, detection of the exact location of rbvs is very important for ophthalmologists. one of the frequently used techniques for extraction of these vessels is region growing-based se...

For automatic breast cancer detection, mass segmentation is and continues to be a major challenge. The segmentation objective is to separate the mass from the rest of the breast by trying to delimit its borders correctly. Seeded Region Growing technique is very attractive for medical image segmentation by involving the high-level knowledge of image components in the seed selection procedure. Th...

Seeded Region Growing technique is very attractive for medical image segmentation by involving the high-level knowledge of image components in the seed selection procedure. However, the Seeded Region Growing technique suffers from the problems of automatic seed generation. A seed point is the starting point for region growing and it’s choose is very crucial since the overall success of the segm...

Object detection and parameter estimation in point cloud data is a relevant subject to robotics, reverse engineering, computer vision, and sport mechanics. In this paper a software is presented for fully-automatic object detection and parameter estimation in unordered, incomplete and error-contaminated point cloud with a large number of data points. The software consists of three algorithmic mo...

In this paper, we present color image segmentation based on automatic seed pixel selection. First, the input RGB color image is transformed into HSVcolor space. Second, the initial seeds are automatically selected based on non-edge and smoothness at pixel’s neighbor as criterion. Third, the seed pixels are merged to form seed region if they are connected. Fourth, a seeded region growing method ...

Dynamically changing urban areas require periodic automatic monitoring, but urban areas include various objects and different objects show diverse appearances. This makes it difficult to effectively detect urban areas. A region-growing method using the Markov random field (MRF) model is proposed for urban detection. It consists of three modules. First, it provides an automatic urban seed object...

application of automatic systems, including discharge measurement technology is one of the effective methods for improving delivery management, water use efficiency, flexibility, and performance of irrigation networks. several aspects such as hydraulic, technical, physical, environmental, economic, social, and managerial, have significant impact on these systems selection. due to diversity of t...