• Raina Swami
• Mr. Lalit Kumar Saini

Image processing is frequently a fascinating area to study since it provides improved visual data for the simplicity of tasks performed by people, as well as processing of image data for transmission and depiction of tasks performed by machines. Image processing is used to provide digital photographs a better solution once they have been treated. Image processing makes use of a wide variety of techniques, including grayscale conversion, image segmentation, edge detection, feature extraction, and classification. The topic of biomedical image processing is one that is expanding and becoming increasingly demanding. It incorporates a wide variety of imaging techniques, including MRI scans, CT scans, and X-rays, among others. With the use of these methods, we are able to detect even the most minute anomalies within the human body. The basic purpose of medical imaging is to get information that is both useful and accurate from theseImage while making as few mistakes as is humanly feasible. This study provides a comprehensive review of the development of image processing algorithms for the identification and categorization of tumors in the human body. Through careful analysis of the many methods now in use, we will be able to identify the one approach that will provide the most fruitful outcomes for the ongoing and upcoming work in this area of study. Additionally, the breadth of the proposed methodologies is aware of the deficiencies, as demonstrated by their ability to produce accurate results in tumor detection.

Brain Tumor, Image processing, Image Classification, Segmentation.

"A Review on Identificationof Tumor Using Image Classification Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.677-681, May 2019, Available :http://www.jetir.org/papers/JETIR1905P98.pdf

"A Review on Identificationof Tumor Using Image Classification Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp677-681, May 2019, Available at : http://www.jetir.org/papers/JETIR1905P98.pdf