According　to　biological　attention　mechanism,　a　region　of　interest　detection　based　on　visual　attention　model　and　evolutionary　programming　is　proposed　in　this　paper.　Candidate　image　regions　are　segmented　with　evolutionary　programming　algorithm.　The　interest　of　a　region　is　measured　with　local　saliency　produced　by　visual　attention　model　and　global　saliency　based　on　evolutionary　programming.　After　wavelet　multiscale　transform,　local　saliency　in　visual　attention　model　is　computed　by　center-surround　differences.　Under　the　action　of　saliency　enhancement　factors,　focus　of　attention　selects　region　of　interest　from　candidate　regions.　The　experimental　results　show　the　proposed　approach　is　closer　to　human　attention　mechanism　and　performs　well　for　object　detection　and　interest　measurement.