Robust Reflection Detection and Removal in Rainy Conditions using LAB and HSV Color Spaces
نویسندگان
چکیده
منابع مشابه
Moving Shadows Removal using HSV Color Space and Texture Analysis
The paper presents a new approach for detection of moving shadows. The approach is based on the assumption that shadow regions are darker than the corresponding background but have the same chromacity and texture. We use both HSV and RGB color spaces to extract spectral information and combine two texture features to detect moving cast shadows. Firstly, candidate shadow regions are extracted by...
متن کاملSkin Detection using HSV color space
This work describes an implementation for skin detection which relies on the H channel to characterize the skin colors range. The openCv library is used for image processing. The program initially converts RGB images to HSV one. The H channel is used to characterize the colors range for skin detection. To illustrate the approach we compare this with others.
متن کاملShadow Detection and Removal from a Single Image Using LAB Color Space
A shadow appears on an area when the light from a source cannot reach the area due to obstruction by an object. The shadows are sometimes helpful for providing useful information about objects. However, they cause problems in computer vision applications, such as segmentation, object detection and object counting. Thus shadow detection and removal is a pre-processing task in many computer visio...
متن کاملA Shadow Detection and Removal from a Single Image Using LAB Color Space
Due to obstruction by an object light from a source cannot reach the area and creates shadow on that area. Shadows often introduce errors in the performance of computer vision algorithms, such as object detection and tracking. Thus shadow detection and removal is a pre-processing task in these fields. This paper proposes a simple method to detect and remove shadows from a single RGB image. A sh...
متن کاملHuman Skin Detection Using RGB, HSV and YCbCr Color Models
Human Skin detection deals with the recognition of skin-colored pixels and regions in a given image. Skin color is often used in human skin detection because it is invariant to orientation and size and is fast to process. A new human skin detection algorithm is proposed in this paper. The three main parameters for recognizing a skin pixel are RGB (Red, Green, Blue), HSV (Hue, Saturation, Value)...
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: REV Journal on Electronics and Communications
سال: 2016
ISSN: 1859-378X,1859-378X
DOI: 10.21553/rev-jec.130