Early detection of a cancerous tumor is important and may be the decisive factor in the patient's fate, since if the tumor is at the beginning - the treatment is simpler, and the chances of recovery are significantly higher.
Due to the great importance of the tests, there is a goal to make these tests more accessible and more accurate so that many people can perform them and get accurate answers, which will save human life.
HT Bioimaging is developing a system for detecting and testing cancerous tumors by heating the tumor and sampling the heat dissipation using a thermal camera.
In this project we have developed a system that moves the camera on a rail and brings it to a distance that yields the clearest image that allows the attending physician to characterize the sampled area. This is done with the help of the image acquired by the thermal camera and with the help of a greedy search algorithm.
The project incorporated several areas in order to develop the system; Software, hardware and algorithmics.
Software has been developed that calculates the focus level of the current image obtained and compares the focus level of the next image obtained due to camera movement. With the help of the information obtained from the two images, an algorithm is activated that decides whether to close the camera or move it away, and to what extent, so that we will reach the best distance in the shortest time possible.
The camera moves on a motorized rail with a motor and controller which receives commands through the software.
The system was tested with HT's camera and the algorithm showed that it was able to find the optimal distance for inanimate objects.