International Journal of Emerging Trends in Science & Technology

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Identification of PAP Smear Image Using Image Processing Techniques


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1 Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India
     

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Nowadays medical image processing is a very important activity of the current techniques and it helps to diagnosis the different types of diseases. In image processing various steps and different techniques are used to retrieve the required image. The main objective of this paper, to discuss about the segmentation techniques, feature extraction methods and image classification techniques. These techniques are helps to select the appropriate method and provide a high accuracy and sensitivity of the given image. Particularly cervical images take to retrieve the data, which cervical cancer is the second most cancer among the world. So this type of image retrieval is help to decrease the women death due to cervical cancer.

Keywords

Accuracy And Sensitivity, Classification, Feature Extraction, Medical Image Processing, Segmentation.
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  • Identification of PAP Smear Image Using Image Processing Techniques

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Authors

K. Deepa
Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India
K. Priyanka
Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India

Abstract


Nowadays medical image processing is a very important activity of the current techniques and it helps to diagnosis the different types of diseases. In image processing various steps and different techniques are used to retrieve the required image. The main objective of this paper, to discuss about the segmentation techniques, feature extraction methods and image classification techniques. These techniques are helps to select the appropriate method and provide a high accuracy and sensitivity of the given image. Particularly cervical images take to retrieve the data, which cervical cancer is the second most cancer among the world. So this type of image retrieval is help to decrease the women death due to cervical cancer.

Keywords


Accuracy And Sensitivity, Classification, Feature Extraction, Medical Image Processing, Segmentation.

References