Voting-based separation of diffuse and specular pixels - Electronics Letters

نویسنده

  • K.-J. Yoon
چکیده

Introduction: Most algorithms in computer vision assume that the surfaces in a scene are perfect Lambertian. However, the presence of specular reflection is inevitable in most images. Although many methods have been proposed to separate specular pixels from an image, they have some critical limitations. Some can only deal with uniform coloured objects [1] and some need prior information about the scene illumination and assume a single illumination source [2, 3]. We propose a fast and efficient algorithm to separate diffuse and specular pixels using a single image, which is taken under a general situation, without any prior knowledge or explicit colour segmentation.

برای دانلود رایگان 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

Separation of specular and diffuse components using tensor voting in color images.

Most methods for the detection and removal of specular reflections suffer from nonuniform highlight regions and/or nonconverged artifacts induced by discontinuities in the surface colors, especially when dealing with highly textured, multicolored images. In this paper, a novel noniterative and predefined constraint-free method based on tensor voting is proposed to detect and remove the highligh...

متن کامل

Diffuse-Specular Separation and Depth Recovery from Image Sequences

Specular reflections present difficulties for many areas of computer vision such as stereo and segmentation. To separate specular and diffuse reflection components, previous approaches generally require accurate segmentation, regionally uniform reflectance or structured lighting. To overcome these limiting assumptions, we propose a method based on color analysis and multibaseline stereo that si...

متن کامل

Specularity Removal using Dark Channel Prior

The reflectance of inhomogeneous objects can be described as a linear combination of diffuse and specular reflection components. Most computer vision algorithms assume that visually observable surfaces consist only of diffuse reflection. The existence of specular reflection can be misleading to these computer vision algorithms. A new algorithm dark channel prior based specularity removal is pro...

متن کامل

Separating Diffuse and Specular Reflection Components Based-on Surface Color Ratio and Chromaticity

A method to separate diffuse and specular reflection components is presented. The method is based on color, particularly on surface color ratio and chromaticity. We define surface color ratio as an invariant to specularity, shading and shadow and use it to detect diffuse pixels. There are three principle steps in our method: diffuse pixels identification, image normalization and reflection comp...

متن کامل

Simple and efficient method for specularity removal in an image.

For dielectric inhomogeneous objects, the perceived reflections are the linear combinations of diffuse and specular reflection components. Specular reflection plays an important role in the fields of image analysis, pattern recognition, and scene synthesis. Several methods for the separation of the diffuse and the specular reflection components have been presented based on image segmentation or...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001