A Collection of Contemporary Research Articles in Electronics, Communication & Computation- Book ISBN- 978-81-948050-7-6

Authors: Jayendra Kumar, Vasanth Subramanyam, Sourabh Kumar, Siva Rama Krishna

Abstract: In open-pit mines, blasting is common, and it will be optimal if there are rock fragments that can be easily transported and moved without any further blasting or crushing. Optimal blasting is of quite an importance for reducing the production cost, hence size analysis of blast fragmentation needs to be done. In this paper, the indirect method is discussed, i.e., an optical method that uses image analysis using MATLAB to analyze grain size and to find parameters like average grain radius and average standard deviation of grain radius. A brief discussion of all topics related to the algorithms and their implementation in MATLAB are discussed thoroughly. Image segmentation plays a major role in scene understanding and further in many applications. Since segmentation is the primary step for getting the size analysis, hereby, in this paper, the development of suitable and appropriate trailing of all the applicable segmentation algorithms to get better results of rock segmentation outputs is discussed. Extracting regions information from the segmented images and calculating certain parameters for size analysis of rock fragments are done to achieve optimal blasting and reduce production cost.

Keywords: - Segmentation, Blob detection, Binary image, Watershed Algorithm.