自動化靜態彩色影像分割常使用於視訊分割系統的前半段，其分割結果可以將物件獨立編碼，以達到MPEG4規範中以物件為基礎之播放效果。但目前的自動化分割技術只具有簡單的邏輯判斷，而人類所認知的影像物件是由形狀、色彩分佈…等交互判斷而成，因此目前的自動化靜態彩色影像分割技術並無法分割出人類所認知的影像物件。
我們在此提出一個概念，以自動化靜態彩色影像分割結果為低階的基本影像分割結果，再藉由電腦輔助程式，讓使用者介入來修正分割結果以得到正確的物件分割。
由於彩色影像中多含有大量自然紋理，因此我們採用最具能力分割自然紋理的HSI色軸，搭配區域增長法中較常見的像素聚積成長法SRG (Seeded Region Growing)來完成自動化彩色影像的分割，而HSI色軸中色相(Hue)的奇異點問題我們也將以亮度色軸的輔助分割來改善。在自動化分割完成後，我們也開發了簡易的人機介面提供給使用者能進一步的修正分割區域，以期能完成人類認知中的影像分割。

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