Morphological Detection of Abnormal Cells in Blood Sample of Humans

Image processing techniques are widely used in the domain of medical sciences for detecting various diseases, infections, tumours, cell abnormalities and various cancers. Detecting and curing a disease on time is very important in the field of medicine for protecting and saving human life. Mostly in case of high severity diseases where the mortality rates are more, the waiting time of patients for their reports such as blood test, MRI is more. The time taken for generation of any of the test is from 1-3 days. The current system used by the pathologists for identification of blood parameters is costly and the time involved in generation of the reports is also more sometimes leading to loss of patient's life. Also the pathological tests are expensive, which are sometimes not affordable by the patient. This paper deals with an image processing technique used for detecting the abnormalities of blood cells in less time. The proposed technique also helps in identifying the dead cells in the blood samples using morphological techniques through cell opening and closing which gives upto 89% computational accuracy.