Add to ORKGThe paper mainly deals with the segmentation of the color image; the algorithm used is nearestvneighbor segmentation algorithm. The working principle of the algorithm is highly suitable for the L*A*B* color space. With the help of this method it’s possible to distinguish the objects based on the color. The concept of the paper can may be applicable to some practical applications such as fake note detection, damaged cells detection in medical fields and defect detection in metal industry etc. Along with the color identification, the paper gives an idea how to calculate the amount of different colors present in an image
The paper describes a new algorithm for image segmentation based on the color and texture features. ...
We develop a methodology to find the optimal memory color (colors of familiar objects) boundary in Y...
The choice of a color model is of great importance for many computer vision algorithms. However, the...
The paper mainly deals with the segmentation of the color image; the algorithm used is nearest neigh...
Image analysis and image segmentation methods are a current field of computer vision and are applied...
image segmentation ory. However, due to the imprecise description of neighborhood similarity, the ex...
Segmentation is the low-level operation concerned with partitioning images by determining disjoint a...
Color segmentation techniques on two-dimensional image was originally used in digital image processi...
The black market for counterfeit works of art is the third most lucrative in the world. The digitali...
This thesis takes an interdisciplinary approach to the study of color vision, focussing on the phe...
With rapid technological advancements in the last few decades, our information and communication sys...
Photography, printing and computer vision are the areas where color constancy of images is essential...
The paper “A Colour Code Algorithm for Signature Recognition ” accounts an image processing applicat...
In this dissertation, we introduce a set of algorithms for document image process- ing, which are in...
The digital data is continuously increasing since last decade. The development in the gadgets and th...
The paper describes a new algorithm for image segmentation based on the color and texture features. ...
We develop a methodology to find the optimal memory color (colors of familiar objects) boundary in Y...
The choice of a color model is of great importance for many computer vision algorithms. However, the...
The paper mainly deals with the segmentation of the color image; the algorithm used is nearest neigh...
Image analysis and image segmentation methods are a current field of computer vision and are applied...
image segmentation ory. However, due to the imprecise description of neighborhood similarity, the ex...
Segmentation is the low-level operation concerned with partitioning images by determining disjoint a...
Color segmentation techniques on two-dimensional image was originally used in digital image processi...
The black market for counterfeit works of art is the third most lucrative in the world. The digitali...
This thesis takes an interdisciplinary approach to the study of color vision, focussing on the phe...
With rapid technological advancements in the last few decades, our information and communication sys...
Photography, printing and computer vision are the areas where color constancy of images is essential...
The paper “A Colour Code Algorithm for Signature Recognition ” accounts an image processing applicat...
In this dissertation, we introduce a set of algorithms for document image process- ing, which are in...
The digital data is continuously increasing since last decade. The development in the gadgets and th...
The paper describes a new algorithm for image segmentation based on the color and texture features. ...
We develop a methodology to find the optimal memory color (colors of familiar objects) boundary in Y...
The choice of a color model is of great importance for many computer vision algorithms. However, the...