Image analyzing method and electrical device
AssigneeMetal Industries Research & Development Centre
InventorsSheng-Hong Yang, Jian-Jia Zeng, Bo-Wei Pan
Life of this patent
Estimating the term…
Abstract
An image analyzing method is provided and includes: extracting a first feature vector according to global information of a digital image; dividing the digital image into multiple regions, and inputting each region into a convolutional neural network to obtain a second feature vector; merging the first feature vector with the second feature vectors to obtain a third feature vector; and performing an image analyzing process according to the third feature vector.
Claims4
An image analyzing method for an electrical device, wherein the image analyzing method comprises:
- extracting a first feature vector according to global information of a digital image, wherein the digital image is a medical image, and the first feature vector consists of a nuclear area ratio, an average nuclear brightness, an average cytoplasmic brightness, and a nuclear and cytoplasmic brightness ratio;
- dividing the digital image into a plurality of regions, and inputting each of the regions into a convolutional neural network to obtain a plurality of feature maps;
- applying a global filter to the feature maps to obtain a plurality of feature values, wherein a size of the global filter is identical to a size of each of the feature maps, and the feature values corresponding to one of the regions constitute one of a plurality of second feature vectors;
- merging the first feature vector with the second feature vectors to obtain a third feature vector;
- and
- performing an image analyzing process according to the third feature vector.
An electrical device, comprising:
- a memory, storing a plurality of instructions;
- and
- a processor, executing the instructions to perform steps of:
- extracting a first feature vector according to global information of a digital image, wherein the digital image is a medical image, and the first feature vector consists of a nuclear area ratio, an average nuclear brightness, an average cytoplasmic brightness, and a nuclear and cytoplasmic brightness ratio;
- dividing the digital image into a plurality of regions, and inputting each of the regions into a convolutional neural network to obtain a plurality of feature maps;
- applying a global filter to the feature maps to obtain a plurality of feature values, wherein a size of the global filter is identical to a size of each of the feature maps, and the feature values corresponding to one of the regions constitute one of a plurality of second feature vectors;
- merging the first feature vector with the second feature vectors to obtain a third feature vector;
- and
- performing an image analyzing process according to the third feature vector.
Dependencies are inferred from the claim text.