MALIGNANT AND BENIGN SKIN LESION IMAGES FOR FEATURE GLCM USING ANN CLASSIFICATION AND ABCD RULE TUMOR SEGMENTATION
ABSTARCT :
Skin lesion is defined as a superficial growth or patch of the skin that is visually different than its surrounding area. Skin lesions appear for many reasons such as the symptoms indicative of diseases, birthmarks, allergic reactions, and so on. Skin lesions can be generally group into two categories namely primary and secondary skin lesions. Primary skin lesions include lesions that are present at birth such as moles and birthmarks, or those that appear during a lifetime due to causes such as symptoms of diseases, allergic reactions, or environmental agents such as sunburn. Secondary skin lesions are changes from primary skin lesions as a result of either natural progression or injury.
EXISTING SYSTEM :
The Existing methodology is to design and develop a computer vision based system for segmentation and classification of skin lesions along with extraction of discriminating set of features from skin lesions for efficient classification. The segmentation performance is measured with different well known measures and the results are appreciable. Subsequently, the extracted lesion areas are represented by color and texture features. Dermatoscopy score (TDS) and k-NN classifiers are used along with their fusion for the classification using the extracted features.
DISADVANTAGE :
• Accuracy low,
• Dermatoscopy score (TDS) Classification Result Mismatched,
PROPOSED SYSTEM :
This project present analysis of automated segmentation called the ABCD rules (Asymmetry, Border irregularity, Color variegation, Diameter) in image segmentation. The experiment was carried on Malignant tumor and Benign skin lesion images. The study shows that the ABCD rules has successfully GLCM& ANN Classification using Skin lesion Tumor Segmentation.
ADVANTAGE :
The other important determinant of lesion colouration is hemoglobin in red blood cells which results in shades of pink and red (depending on the vascular volume). Poorly oxygenated blood might be perceived as purple, and congealed blood (thrombus) often appears as jet black. The stratum corneum, devoid of blood and melanin, appears yellow. Orange hues are due to serum present in erosions or superficial ulcerations. White colour is due to depigmentation, fibrosis, alterations in the collagen matrix, or keratin within cysts.
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