This paper has developed a system for early diagnosis of senile dementia and mild cognitive impairment (MCI) by developing software to measure the volume of hippocampus. This software consists of two parts; segmentation and analysis. The segmentation part uses ROI and region growing to segment hippocampus region. On the other hand, the analysis part creates a volume rendering of hippocampus. Th...

This work presents an efficient and automated method to extract the human cerebral ventricular system from MRI driven by anatomic knowledge. The ventricular system is divided into six three-dimensional regions; six ROIs are defined based on the anatomy and literature studies regarding variability of the cerebral ventricular system. The distribution histogram of radiological properties is calcul...

Microtubule-associated protein 1 b (MAP1 b) is expressed at especially high levels in neurons actively extending axons, and although it appears to be required for axon growth, the nature of its role is unknown. We reasoned that a detailed description of the localization of MAP1 b in growing axons would help define how MAP1 b participates in axon growth. Therefore, we have stained cultured sympa...

Mesh sequences are becoming a common tool in computer graphics as can be seen in video games ormedical imaging. As a consequence, mesh sequences generation’s methods have been developed. Sequences can be created using a modeler or by multi-cameras acquisition. These methods can generate sequences which have different properties. Moreover, different applications using mesh sequences have been pr...

This paper presents a solution to a major drawback of watershed transformation: over segmentation. The solution utilizes one of its main advantages – very good edge extraction. It is a method that simulates pouring water onto a landscape created on a basis of a digital image. Unfortunately transformation produces a region for each local minimum so, usually, the number of watersheds (catchment b...

By propagating a vector for each pixel, we show that nearly Euclidean distance maps can be produced quickly by a region growing algorithm using hierarchical queues. Properties of the propagation scheme are used to detect potentially erroneous pixels and correct them by using larger neighbourhoods, without significantly affecting the computation time. Thus, Euclidean distance maps are produced i...

Color image segmentation is the process of segmenting the image into multiple subsets. It is an important step towards pattern detection and recognition. A seeded region growing color image segmentation is used to segment the image into homogenous regions. In this paper, we present an extensive survey on research work carried out in the area of color image segmentation by automatic seeded regio...

Region growing is one of the most intuitive techniques for image segmentation. Starting from one or more seeds, it seeks to extract meaningful objects by iteratively aggregating surrounding pixels. Starting from this simple description, we propose to show how region growing technique can be elevated to the same rank as more recent and sophisticated methods. Two formalisms are presented to descr...

In this position paper we examine the limitation of region growing segmentation techniques to extract semantically meaningful objects from an image. We propose a region growing algorithm that performs on a semantic level, driven by the knowledge of what each region represents at every iteration step of the merging process. This approach utilizes simultaneous segmentation and labeling of regions...