Classification of Cervical Cells Based on Labeled Colour Intensity Distribution

Automatic classification system of cervical cells images has been developed by some researchers. The process however takes long time or less accurate. In order to decrease the processing time while maintaining the accuracy of detection, a new method in classification of cervical cancer has been proposed. Before classification, the image is optimized and labeled. This will accelerate the segmentation and classification process. Test result shows the significant reduction of computation time compare to other results, while maintaining the accuracy, specificity, sensitivity and positive predictive value. Keywords—Cervical cells, classification, processing time, optimized color intensity, accuracy