A Simple Hair Removal Algorithm from Dermoscopic Images

نویسندگان

  • Damian Borys
  • Paulina Kowalska
  • Mariusz Frackiewicz
  • Ziemowit Ostrowski
چکیده

The main goal of our work is initial preprocessing of dermoscopic images by hair removal. Dermoscopy is a basic technique in skin melanoma diagnostics. One of the main problems in dermoscopy images analysis are hairs objects in the image. Hairs partially shade the main region of interest that’s why it needs special treatment. We have developed a simple and fast hair removal algorithm based on basic image processing algorithms. The algorithm was tested on available online test database PH2 [8]. Primary results of proposed algorithm show that even if hair contamination in the image is significant algorithm can find those objects. There is still a place for improvements as long as some air bubbles are marked as a region of interest.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A New Algorithm for Skin Lesion Border Detection in Dermoscopy Images

Background: With advances in medical imaging systems, digital dermoscopy has become one of the major imaging modalities in the analysis of skin lesions. Thus, automated segmentation or border detection has a great impact on the subsequent steps of skin cancer computer-aided diagnosis using demoscopy images. Since dermoscopy images suffer from artifacts such as shading and hair, there is a need ...

متن کامل

E-shaver: An improved DullRazor® for digitally removing dark and light-colored hairs in dermoscopic images

We present an efficient and improved method for hair removal from dermoscopic images, which is faster and can remove hairs more effectively as compared to the existing and widely used DullRazor(®). To do so, we first detect the predominant orientation of hairs in the image by using Radon transform, followed by filtering the image by Prewitt filters using the orientation of existing hairs. Undes...

متن کامل

A Hybrid Approach to Segmenting Hair in Dermoscopic Images Using a Universal Kernel

Hair occlusion often causes automated melanoma diagnostic systems to fail. We present a new method to segment hair in dermoscopic images. First, all possible dark and light hairs are amplified without prejudice with a universal matched filtering kernel. We then process the filter response with a novel tracing algorithm to get a raw hair mask. This raw mask is skeletonized to contain only the ce...

متن کامل

Segmentation of light and dark hair in dermoscopic images: a hybrid approach using a universal kernel

The main challenge in an automated diagnostic system for the early diagnosis of melanoma is the correct segmentation and classification of moles, often occluded by hair in images obtained with a dermoscope. Hair occlusion causes segmentation algorithms to fail to identify the correct nevus border, and can cause errors in estimating texture measures. We present a new method to identify hair in d...

متن کامل

Unsupervised Restoration of Hair-Occluded Lesion in Dermoscopic Images

The presence of artefacts such as hair shaft, thin blood vessel, ruler marking and air bubble in medical images makes the diagnosis of skin-related medical images very difficult. This paper uses a two-stage artefact detection termed Fast Image Restoration (FIR) via Canny algorithm and Line Segment Detection (LSD) operation for effective detection of artefacts. The Fast Marching Method (FMM) was...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015