توضیحات
ABSTRACT
Accurate segmentation is an important and challenging task in any computer vision system. It also plays a vital role in computerized analysis of skin lesion images. This paper presents a new segmentation method that combines the advan- tages of fuzzy C mean algorithm, thresholding and level set method. 3-class Fuzzy C mean thresholding is applied to initialize level set automatically and also for estimating controlling parameters for level set evolution. Parameters for performance evaluation are presented and segmentation results are compared with some other state-of-the-art segmenta- tion methods. Increased true detection rate and reduced false positive and false negative errors confirm the effectiveness of proposed method for skin cancer detection.
Introduction
The incidence of skin cancer is rapidly increasing through-out the world [1]. An estimated 76,250 new cas-es of invasive melanoma were diagnosed in the US in 2012, with an estimated 9,180 resulting in death [2]. Australia has one of the highest rates of skin cancer in the world. Over 1890 Australians die from skin cancer each year [3]. Melanoma is capable of deep invasion. The most dangerous characteristic of melanoma is that it can spread widely over the body via the lymphatic ves- sels and blood vessels. Thus, early diagnosis of mela- noma is a key factor for prognosis of the disease. Analysis of skin lesion images taken using dermo- scopic imaging technique [4] is a commonly used me-thod for diagnosis of skin cancer but, this method re- quires great deal of experience [5]. Due to the lack of reproducibility and subjectivity of human interpretation, the development of computerized image analysis tech- niques is of paramount importance. Segmentation is one of the most important and difficult task in computerized image analysis process. The accuracy of the subsequent steps highly depends on the success of image segmenta- tion technique.
Year:2013
By:Ammara Masood, Adel Ali Al-Jumaily
File Information :English Language/6 Page/Size:333 K
Download:click
سال :2013
کاری از :Ammara Masood, Adel Ali Al-Jumaily
اطلاعات فایل:زبان انگلیسی/6صفحه/حجم:333 K
لینک دانلود :روی همین لینک کلیک کنید
نقد و بررسیها
هنوز بررسیای ثبت نشده است.