Invention Grant
- Patent Title: Image classification
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Application No.: US16147966Application Date: 2018-10-01
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Publication No.: US10452960B1Publication Date: 2019-10-22
- Inventor: Yingmao Li , Vikram VijayanBabu Appia , Ziguo Zhong , Tarek Aziz Lahlou
- Applicant: TEXAS INSTRUMENTS INCORPORATED
- Applicant Address: US TX Dallas
- Assignee: TEXAS INSTRUMENTS INCORPORATED
- Current Assignee: TEXAS INSTRUMENTS INCORPORATED
- Current Assignee Address: US TX Dallas
- Agent Gregory J. Albin; Charles A. Brill; Frank D. Cimino
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N7/00 ; G06N3/08 ; G06T1/20 ; G06K9/46

Abstract:
An image classification system includes a convolutional neural network, a confidence predictor, and a fusion classifier. The convolutional neural network is configured to assign a plurality of probability values to each pixel of a first image of a scene and a second image of the scene. Each of the probability values corresponds to a different feature that the convolutional neural network is trained to identify. The confidence predictor is configured to assign a confidence value to each pixel of the first image and to each pixel of the second image. The confidence values correspond to a greatest of the probability values generated by the convolutional neural network for each pixel. The fusion classifier is configured to assign, to each pixel of the first image, a feature that corresponds to a higher of the confidence values assigned to the pixel of the first image and the second image.
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