Wound Detection in Java

Diabetes is a type of disease and is much more dangerous. Normal cells in our body divide in orderly and balanced fashion. Diabetes occurs when certain cells begin to grow out of control. Diabetes cells can also spread to other parts of the body through the blood, nerves or lymph system, in a process called metastasis. Diabetes of the cell in the outer most layer of skin called the epidermis. The epidermis has three layers an upper and middle layer made up of squamous cells, and a bottom layer made up of melanocytes and basal cells. Besides lung diabetes, diabetes is one of the most preventable types. This is due to the fact that the major risk factor is ultraviolet (UV) radiation. The amount of UV exposure depends on the Strength of the light, how long the skin was exposed, and whether the skin was coverd with clothing or sunscreen. The disease can be cured, when it is diagnosed in its early stage. The early diagnosis is difficult using conventional dermatological methods. Non-invasive diagnosis melanoma is possible by image processing technique. Accurate segmentation of skin wounds using dermoscopy images is a challenging task. This thesis proposes an efficient image segmentation algorithm using radial search technique to extract true border of dermoscopy skin images containing wounds.