Increase Efficiency of SURF using RGB Color Space
نویسندگان
چکیده
منابع مشابه
Increase Efficiency of SURF using RGB Color Space
SURF is one of the most robust local invariant feature descriptors. SURF is implemented mainly for gray images. However, color presents important information in the object description and matching tasks as it clearly in the human vision system. Many objects can be unmatched if their color contents are ignored. To overcome this drawback this paper proposed a method CSURF (Color SURF) that combin...
متن کاملassessment of the efficiency of s.p.g.c refineries using network dea
data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...
Color Space Transformation from RGB to CIELAB Using Neural Networks
Transformations in digital color imaging from RGB to CIELAB are compared between conventional ICC profiles and a newly developed neural network model. The accuracy of the transformations are computed in terms of Delta E and a comparison is made between the ICC profile and a neural network implemented in MATLAB. The transformations are used to characterize and test the color response of an Epson...
متن کاملThe Prismatic Color Space for Rgb Computations
In the spirit of the HSV color space, we introduce a simple transform of the RGB color cube into a light/dark dimension and a 2D hue. The hue is a normalized (barycentric) triangle with pure red, green, and blue at the vertices, often called the Maxwell Color Triangle. Each cross section of the space is the same barycentric triangle, and the light/dark dimension runs zero to one for each hue so...
متن کاملRobust Skin Color Segmentation Using a 2D Plane of RGB Color Space
This research features a new method for skin color segmentation using a 2D plane in the RGB color space. The RGB color values of the input color image do not need to be converted into HSI or YIQ color coordinates that have popularly been used for color segmentation. We have observed an important fact that skin colors in the RGB color space are approximately distributed in a linear fashion. Base...
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: International Journal of Advanced Computer Science and Applications
سال: 2015
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2015.060810