A Literature Review on Mathematical Morphology Based Image Segmentation Techniques

Digital countenance processing is an arising technology and has found ample applications in biomedical image, stellar imaging, detached sensing and sonar imaging, the study of climatology, seismology, bottom of the sea studies and exploration of soil resources. Image segmentation process of some digital countenance has been found main in the second level of processing and the main aim concerning this level of processing is to produce and feed the information to the calculating machine for subsequent greater level image convert. Morphology based image separation has occupied a important position in state of art countenance processing and it needs a all-encompassing investigation for the betterment of the subject worried and for the ease of handling of the large data by the machines. The present phase has aimed at to present a all-encompassing and exhaustive literature study on differing aspects of separation of digital images utilizing morphological approach.

Author(s) Details:

Pinaki Pratim Acharjya,
Department of Computer Science and Engineering, Haldia Institute of Technology, West Bengal, India.

Subhabrata Barman,
Department of Computer Science and Engineering, Haldia Institute of Technology, West Bengal, India.

Subhankar Joardar,
Department of Computer Science and Engineering, Haldia Institute of Technology, West Bengal, India.

Santanu Koley,
Department of Computer Science and Engineering, Haldia Institute of Technology, West Bengal, India.

Please see the link here: https://stm.bookpi.org/RPST-V8/article/view/10062

Keywords: Image processing, image segmentation, mathematical morphology, literature survey