Flower Recognition System Based On Image Segmentation Algorithms
Aarti Sawant, Assistant professor, electronics and telecommunication department, Bharati Vidyapeeth (Deemed to be University) College Of Engineering, Pune, India.
Manuscript received on December 13, 2019. | Revised Manuscript received on December 21, 2019. | Manuscript published on January 10, 2020. | PP: 685-688 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8374019320/2020©BEIESP | DOI: 10.35940/ijitee.C8374.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image segmentation is now established as the robust technique in image processing. Important features from image are extracted by using image processing tool. In order to extract important features from an image, segmentation provides a rapid solution. Digitizing the image and differentiating it into multiple segments to outline region of interest is known as image segmentation. Segmentation algorithms are differentiated based on colour, gray values or textures of an image are discontinuity and similarity. In this article ,we present different segmentation algorithms along with their experimental results.
Keywords: Image Processing, Image Segmentation, Segmentation Algorithms.
Scope of the Article: Image Processing and Pattern Recognition