Image-based control of skin melanin texture
نویسندگان
چکیده
منابع مشابه
Image-based control of skin melanin texture.
We introduce a useful tool for controlling the skin melanin texture of facial photographs. Controlling the skin melanin texture is an important task in the reproduction of posters, TV commercials, movies, and so on. We used component maps of melanin, which were obtained by a previous method [J. Opt. Soc. Am. A 16, 2169 (1999)] as the first processing step. We propose to control the melanin text...
متن کاملImage-Based Control of Skin Translucency
We propose a method for skin translucency control of facial images. This is one of the important tasks in the reproduction of posters, TV commercials, movies, and so on. As the first step of processing, we extract the component maps of melanin, hemoglobin, and shading from skin color images by using our conventional method. The extracted shading component is controlled to change the translucenc...
متن کاملIn Vivo 3d Quantification of Melanin in Human Skin Based on Multiphoton Microscopy and Image Processing
Multiphoton microscopy is a recent non-invasive skin imaging technique that allows the human skin three-dimensional structure to be characterized in vivo with sub-μm resolution. This technique, in combination with specific 3D image processing tools, allows an automatic segmentation of the different skin layers and an extraction of several quantitative parameters characterizing skin in terms of ...
متن کاملTowards Local Control for Image-Based Texture Synthesis
New advances in image based texture synthesis techniques allow the generation of arbitrarily sized textures based on a small sample. The generated textures are perceived as very similar to the given sample. One main drawback of these techniques, however, is that the synthesized result cannot be locally controlled, that is, we are able to synthesize a larger version of the sample but without muc...
متن کاملUnsupervised Texture Image Segmentation Using MRFEM Framework
Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Optics
سال: 2006
ISSN: 0003-6935,1539-4522
DOI: 10.1364/ao.45.006626