Analysis for textural features in Nuclei of Cervical Cyto Images

Cervical cancer is one of the deadliest cancers that occur in women and the only way it could be curtailed is through an automated system. The sense of touch yields more information than visual and other senses. Here we have tried to exploit this concept by analyzing the textural features of cervical cyto images. The Nuclei of a Cervical cyto image possess immense textural information and can yield lot of clues about the cancer stage itself. Here we have analyzed different techniques that can be implemented to extract the various texture based features from a cervical cyto image.