Downloads: 113
M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 10, October 2014
Region Growing and Object Extraction Techniques
Amarpreet Kaur | Navpreet Singh [2]
Abstract: For some applications, such as image recognition or compression, whole image cannot be processed directly for the reason that it is inefficient and unpractical. Therefore, several image segmentation algorithms were proposed to segment an image before recognition or compression. Image segmentation is to classify or cluster an image into several parts (regions) according to the feature of image, for example, the pixel value or the frequency response. Up to now, lots of image segmentation algorithms exist and be extensively applied in science and daily life. According to their segmentation method, we can approximately categorize image segmentation algorithms into region-based segmentation, data clustering, and edge-base segmentation. Each approach has its own pros and cons. This paper presents a brief review of some of the promising region growing and object-extraction techniques enlisting their advantages and limitations.
Keywords: image segmentation, snakes, region growing, extraction, intelligent scissors
Edition: Volume 3 Issue 10, October 2014,
Pages: 712 - 715
Similar Articles with Keyword 'image segmentation'
Downloads: 2
Research Paper, Computer Science & Engineering, India, Volume 10 Issue 9, September 2021
Pages: 649 - 652Image Segmentation using Biogeography based Optimization and its Comparison with K Means Clustering
Babita Chauhan [2] | Preeti Sondhi [7]
Downloads: 3 | Weekly Hits: ⮙2 | Monthly Hits: ⮙3
Research Paper, Computer Science & Engineering, India, Volume 12 Issue 11, November 2023
Pages: 232 - 238XNet: X - Ray Image Segmentation
Kannagi Rajkhowa [2] | Puran Bhat [2] | Harsh Chaudhary | Gurleen Kaur [4]