1. Field of the Invention
The present invention relates to a method for image/video segmentation, more particularly to a method capable of combining texture feature of an image signal and color feature of an image signal, and benefiting from the advantages of texture feature and color feature to segmentize an image signal into a plurality of texture color feature regions, so as to increase the accuracy of image signal segmentation.
2. Description of Related Art
Among various computer vision and image processing architecture, the image intensity or the color intensity of a surface of an object within an image signal will be assumed to be approximately uniform. However, such assumption does not fit with the real world what human eyes sees exactly. In addition to image intensity or the color intensity, human eyes can also observe other sorts of subtle variation on the surface of objects, and these subtle variation is the so call texture.
In the past years, scholars used to depict texture as follow: some units that are mostly fundamental are carried in texture image, and characteristic of texture must have been told just by through the “space relationship” between texture fundamental units. Otherwise, some scholars also give the following description on texture: textures appearing to be identical have similar “region characteristics”, and these region characteristics may by smoothness, roughness, or regularity.
Focusing on the aforementioned texture characteristics, how to precisely extract the texture characteristics has become an important subject for modern image processing technology, and is worth for further study in the field of computer vision and image processing. In the past literature, Gabor filter bank is widely applied for extracting texture feature, while the impulse response thereof is the multiplication of a Gaussian function and complex exponential. Therefore, Gabor filter has several physical properties on invariant such as translation invariant, scale invariant, and rotation invariant.
However, texture feature is not accommodated into consideration due to the method for image/video segmentation using texture feature which is broadly employed merely concerns about the color feature of an image region, thus, an color feature region of an image signal being unable to be further separated into two sub-regions with different texture feature due to having identical color feature usually occurs, and this confines the accuracy on the successive image recognition.
Therefore, the industry desires for a method for image/video segmentation using texture feature, capable of combining the texture feature and the color feature of an image signal, and utilizing the advantages carried by both texture feature and color feature to segment the image signal into plural texture color feature regions. By the method, the accuracy on image segmentation can be raised.