摘要 A novel technique is presented to combine 遺傳 algo

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論文資訊

• 類型：已發表論文
• 日期：2010

摘要

A novel technique is presented to combine 遺傳 algorithms (GAs) with level-set functions to segment objects with known shapes and variabilities on images. The individuals of the GA, also known as chromosomes consist of a sequence of parameters of a level-set function. Each chromosome represents a unique segmenting contour. An initial 族群 of segmenting contours is generated based on the learned variation of the level-set parameters from training images. Each segmenting contour (an individual) is evaluated for its fitness based on the texture of the region it encloses. The fittest individuals are allowed to propagate to future generations of the GA run using selection, crossover and 突變. The GA thus provides a framework for combining texture and shape features for segmentation. Level-set-based s

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