Bubbles　burst　and　merging　were　key　factors　used　to　represent　the　stability　of　flotation　froth.　To　extract　the　dynamic　characteristics　of　the　froth　layer　in　mineral　flotation　process,　a　measuring　method　based　on　the　change　feature　detection　of　the　bubbles　regions　between　the　adjacent　frames　was　proposed.　Support　vector　machine　(SVM)　was　introduced　to　make　the　measurement　problem　into　a　classification　problem.　Firstly,　the　threshold　method　and　watershed　algorithm　were　respectively　used　to　implement　the　extraction　of　the　bubble　bright　regions　and　the　bubble　individual　regions　of　adjacent　frames.　Secondly,　a　total　of　six　change　features　of　the　two　regions　were　selected　and　extracted　based　on　the　inherent　characteristics　of　events　such　as　bubble　burst　and　merging.　Then　the　training　and　design　of　the　SVM　classifier　were　conducted,　and　the　classification　of　the　bubble　stability　was　completed　finally.　Meanwhile,　the　classification　decision　value　was　extracted　to　represent　the　bubble　stability　value　after　the　further　normalization　process.　Experiments　on　a　lead　and　zinc　flotation　plant　were　carried　out.　The　experimental　results　proved　that　the　proposed　method　can　detect　the　dynamic　events　of　bubbles　successfully.　The　classifier　can　give　judgments　of　bubble　stability　based　on　the　feature　variation　with　quantitative　measurement　values.　©　2018,　Editorial　Board　of　Journal　of　CUMT.　All　right　reserved.