Images are examined and discretized numerical capacities. The goal of computerized image processing is to enhance the nature of pictorial data and to encourage programmed machine elucidation. A computerized imaging framework ought to have fundamental segments for picture procurement, exceptional equipment for encouraging picture applications, and a tremendous measure of memory for capacity and info/yield gadgets. Picture segmentation is the field broadly scrutinized particularly in numerous restorative applications and still offers different difficulties for the specialists. Segmentation is a critical errand to recognize districts suspicious of tumor in computerized mammograms. Every last picture have distinctive sorts of edges and diverse levels of limits. In picture transforming, the most regularly utilized strategy as a part of extricating articles from a picture is "thresholding". Thresholding is a prevalent device for picture segmentation for its straightforwardness, particularly in the fields where ongoing handling is required.

How to Cite
SIR, Krishnaveni. The Impact of Different Image Thresholding based Mammogram Image Segmentation- A Review. Global Journal of Computer Science and Technology, [S.l.], mar. 2021. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/2019>. Date accessed: 23 jan. 2022.