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...

Hierarchical graphs using a decimation process can be applied to an image to obtain segmentation. However, this method encounters limitations. First the decimation proceeds at each step in a general way on the entire image. Second, a criterion is needed to stop the iterative process when the best segmentation is obtained. We propose a statistical test to control the region growing process. This...

osteoma is a benign, slow-growing osteogenic tumor that sometimes arises from the craniomaxillofacial region, such as the sinus, temporal or jaw bones. osteoma consists of compact or cancellous bone that may be peripheral, central or extraskeletal type. peripheral osteoma arises from the periosteum and is commonly a unilateral, pedunculated mushroom-like mass. peripheral osteoma of the mandible...

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 ...

Many computer aided diagnosis (CAD) systems help radiologist on difficult task of mass detection in a breast mammogram and, besides, they also provide interpretation about detected mass. One of the most crucial information of a mass is its shape and contour, since it provides valuable information about spread ability of a mass. However, accuracy of shape recognition of a mass highly related wit...

A fast hybrid system for the automated detection and verification of active regions (plages) and filaments in solar images is presented in this paper. The system combines automated image processing with machine learning. The imaging part consists of five major stages. The solar disk is detected in the first stage using a morphological hit-miss transform, watershed transform and Filling algorith...

We propose an algorithm of blood vessel segmentation for MRA data in this paper. The generic region growing, as well as thresholding, is not appropriate to extract the whole part of the vessels on MRA data. This is because of the image property of the MRA, where the intensity of each pixel on the blood area depends on the amount of blood flow. Moreover, thin vessels are affected by the partial ...