A Survey on Color Image Segmentation by Automatic Seeded Region Growing
نویسندگان
چکیده
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 region growing. Survey is extended towards applying region growing method in the field of medical images. Finally, paper is concluded towards the future research work towards recent technology. Keywords—seeds selection, region growing, region merging
منابع مشابه
Automatic image segmentation by integrating color-edge extraction and seeded region growing
We propose a new automatic image segmentation method. Color edges in an image are first obtained automatically by combining an improved isotropic edge detector and a fast entropic thresholding technique. After the obtained color edges have provided the major geometric structures in an image, the centroids between these adjacent edge regions are taken as the initial seeds for seeded region growi...
متن کاملColor Image Segmentation Based on Automatic Seed Pixel Selection
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 ...
متن کاملImage Segmentation Using Automatic Seeded Region Growing and Instance-Based Learning
Segmentation through seeded region growing is widely used because it is fast, robust and free of tuning parameters. However, the seeded region growing algorithm requires an automatic seed generator, and has problems to label unconnected pixels (unconnected pixel problem). This paper introduces a new automatic seeded region growing algorithm called ASRG-IB1 that performs the segmentation of colo...
متن کاملAutomatic Color Image Segmentation Using a Square Elemental Region-Based Seeded Region Growing and Merging Method
This paper presents an efficient automatic color image segmentation method using a seeded region growing and merging method based on square elemental regions. Our segmentation method consists of the three steps: generating seed regions, merging the regions, and applying a pixel-wise boundary determination algorithm to the resultant polygonal regions. The major features of our method are as foll...
متن کاملPerformance Analysis of Segmentation of Hyperspectral Images Based on Color Image Segmentation
Image segmentation is a fundamental approach in the field of image processing and based on user’s application .This paper propose an original and simple segmentation strategy based on the EM approach that resolves many informatics problems about hyperspectral images which are observed by airborne sensors. In a first step, to simplify the input color textured image into a color image without tex...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013