• Khushi Shinde
• Durva Detke
• Suvarna Udgire

This exploration paper presents a new approach for automated discovery of erythrocyte shape abnormalities using image processing ways. Erythrocyte morphology plays a pivotal part in colorful physiological and pathological conditions, making accurate discovery of shape irregularities essential for individual purposes. Traditional homemade styles for erythrocyte shape analysis are time- consuming and private, pressing the need for automated systems. Our proposed system leverages image processing algorithms to descry and quantify erythrocyte shape abnormalities from bitsy blood smear images. original preprocessing way involve image improvement and segmentation to insulate individual erythrocytes. latterly, morphological operations are applied to prize features reflective of shape irregularities, similar as spherocytosis, elliptocytosis, and poikilocytosis. Machine literacy ways are employed for bracket and confirmation of abnormal erythrocyte shapes. Experimental results demonstrate the effectiveness and effectiveness of the proposed approach in directly detecting and characterizing erythrocyte shape abnormalities. This exploration contributes to advancing automated hematological analysis, easing early opinion and monitoring of colorful blood diseases.

Keywords — Erythrocyte shape discovery, Image processing, Blood smear analysis, Morphological operations, Machine literacy, Hematological diseases. Erythrocytes, Image Processing, Shape Discovery, Microscopy, Medical Imaging.

"A Review of Erythrocyte Shape Detection Under Normal and Pathological Conditions ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.g403-g407, July-2024, Available :http://www.jetir.org/papers/JETIR2407647.pdf

"A Review of Erythrocyte Shape Detection Under Normal and Pathological Conditions ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. ppg403-g407, July-2024, Available at : http://www.jetir.org/papers/JETIR2407647.pdf