Image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label are connected and meaningful, and share certain visual characteristics. Pixels in a region are similar with respect to some features or property, such as color, intensity, or texture. Adjacent regions may be significantly different with respect to the same characteristics. Therefore, it is difficult for a static (non-learning) segmentation technique to accurately segment different images with different characteristics. In this paper, an evolving fuzzy system is used to segment medical images. The system uses some training images to build an initial fuzzy system which then evolves online as new images are encountered. Each new image is segmented using the evolved fuzzy system and may contribute to updating the system. This process provides better segmentation results for new images compared to static paradigms. The average of segmentation accuracy for test images is calculated by comparing every segmented image with its gold standard image prepared manually by an expert.
Sehemu ya picha ni mchakato wa kugawa lebo kwa kila pixel katika picha, kwa hivyo pikseli zilizo na lebo moja zinaunganishwa na zina maana, na kushiriki sifa fulani za kuona. Pikseli katika eneo ni sawa kuhusiana na baadhi ya vipengele au mali, kama vile rangi, nguvu, au texture. Mikoa jirani inaweza kuwa tofauti sana kuhusiana na sifa sawa. Kwa hiyo, ni vigumu kwa static (si kujifunza) segmentation mbinu kwa usahihi segment picha tofauti na sifa tofauti. Katika karatasi hii, mfumo wa fuzzy unaobadilika hutumiwa kugawanya picha za matibabu. Mfumo hutumia baadhi ya picha za mafunzo kujenga mfumo wa awali fuzzy ambayo kisha inabadilika mtandaoni kama picha mpya zinakutana. Kila picha mpya ni segmented kutumia maendeleo fuzzy mfumo na inaweza kuchangia kusasisha mfumo. Utaratibu huu hutoa matokeo bora ya mgawanyiko kwa picha mpya ikilinganishwa na mifumo ya kimya. Wastani wa usahihi wa segmentation kwa ajili ya picha za mtihani ni mahesabu kwa kulinganisha kila picha segmented na picha yake dhahabu kiwango tayari manually na mtaalamu.