A Statistical Method for Object Counting
This work addresses object counting for applications like medical imaging or agriculture, but it is incremental as it builds on existing statistical approaches without a major breakthrough.
The paper tackles the problem of counting similarly sized, mostly round objects by introducing a statistical method that avoids identifying individual objects, instead using image statistics. It achieves good accuracy on images of human bone cells, oranges, and pills, with strengths in handling touching and overlapping objects, requiring no prior configuration, and performing well.
In this paper we present a new object counting method that is intended for counting similarly sized and mostly round objects. Unlike many other algorithms of the same purpose, the proposed method does not rely on identifying every object, it uses statistical data obtained from the image instead. The method is evaluated on images with human bone cells, oranges and pills achieving good accuracy. Its strengths are ability to deal with touching and partly overlapping objects, ability to work with different kinds of objects without prior configuration and good performance.