Abstract: With the detonative growth of the digital technologies in the web large amount of visual data are created and stored. The majority of image available on the web have little or no metadata associated with it describing the semantic concept associated with the images. There is a need of efficient and effective technique to find visual information on demand.One of the promising approach to enhance the image retrieval is automatic image annotation which refers to process of assigning relevant keywords to the image to bridge the semantic gap between low level content features of image such as color, texture and shape and semantic concepts understand by the humans such as keywords, description or image classification. The paper discusses implementation of the automatic image annotation using fuzzy c means clustering to annotate the image based on Dominant color and Gray level cooccurence matrix texture feature. The experiments are conducted on 50 beach images and 50 images of the corel datas

• Publication Date: 25-May-2014
• DOI: 10.15224/978-1-63248-028-6-01-120
• Views: 0
• Downloads: 0

Abstract: Skin Ulcers are likely to be caused by the increase in UV radiation which occurs as a result of ozone depletion with the culture of the sun. Major other causes of skin cancer are burns, scars, sores, radiation or certain chemicals like arsenic. Moreover, tattooing is considered as a fashion in the younger generations, unaware of the fact that it can cause a skin cancer. However, if detected early, all forms of skin cancers are curable. This relies heavily on classifying skin lesion at an early stage. Skin lesion classification involves data from patient concerning both, their individual features and wound origin to be collected. Skin ulcer images and medical diagnosis about its grade can be stored, thereby submitting these data to the data mining procedures in order to detect some relations between them.Detection of Stage I skin ulcers become more difficult by unaided visual inspection. Therefore, patients are more prone towards developing Stage –II and Stage –III skin ulcers. Research

• Publication Date: 25-May-2014
• DOI: 10.15224/978-1-63248-028-6-01-121
• Views: 0
• Downloads: 0