Industrial Technology Research Institute

Te-Chin Shao

Wen-Chao Chen

Cheng-Feng Wu

Image classification methods and systems are provided. First, an image is obtained using a computer. The image is then processed using the computer to obtain image information. The image information includes one or any combination of an average color difference between at least one average channel value of pixels in at least one boundary region of the image and a predefined standard value, a gradient variation magnitude difference between at least two regions of the image, and a percentage of the edges of the image to the image. The image is classified using the computer according to the image information.

Image classification methods and systems

An image processing method for providing corresponding depth information according to an input image is provided. This method includes the following steps. First, a reference image is generated according to the input image. Next, the input image and the reference image are divided into a number of input image blocks and a number of reference image blocks, respectively. Then, according to a number of input pixel data of each input image block and a number of reference pixel data of each reference image block, respective variance magnitudes of the input image blocks are obtained. Next, the input image is divided into a number of segmentation regions. Then, the depth information is generated according to the corresponding variance magnitudes of the input image blocks which each segmentation region covers substantially.

Growing community of inventors

Taichung, Taiwan

Te-Chin Shao