One of the key limitations of existing image processing algorithms for computer-aided detection (CADe) is that they are often designed and evaluated in an ad hoc manner. This paper characterizes some of the issues and shortcomings in existing performance evaluation paradigms for image processing algorithms in breast cancer screening, particularly in the context of computer aided detection. We present the framework for establishing a performance evaluation process using standardized criteria. We conclude with some specific recommendations to improve the infrastructure for evaluation the performance of image processing algorithms.
This paper describes the background subtraction algorithm and its performance in low power processing units, this algorithm has low complexity and can be used to detect objects so that it has the potential to be applied to security cameras. This study has succeeded in applying basic image processing algorithms to detect and track objects, such as background subtraction in the ESP32 module. The ESP32 module equipped with Xtensa® 32-bit LX6 microprocessor running at 240MHz can process 10000 times background subtraction algorithms in ~ 2000ms using 80x60 pixel image input.
Background Subtraction; Embedded; ESP32; Image Processing; Microcontroller; Object Detection;
An integrated environment for fast development and performance assessment of sonar image processing algorithms - SSIE