A diagnosis support apparatus for diagnosing a lesion based on a captured image composed of a multi-valued image, comprising: a processing unit configured to process the captured image as an original image, characterized in that the processing unit comprises: a separating unit configured to separate the captured image into a brightness component and a color information component; first extracting means (101b-1); and second extracting means (101b-2); wherein the first extracting means (101b-1) are adapted to perform a first morphology processing which performs a bottom hat processing, wherein the bottom hat processing includes a dilation, an erosion, a smoothing filter processing and a subtraction processing in this order with respect to an image (L) representing the brightness component, to generate a first image (BH), wherein the first extracting means (101b-1) are used to perform the first morphology processing when acquiring a shape of regions having low pixel values from the image (L) representing the brightness component; and the image obtained as a result of the first morphology processing is extracted as a candidate region (BH); and the second extracting means (101b-2) are adapted to perform a second morphology processing which performs a top hat processing, wherein the top hat processing includes an erosion, a dilation, a smoothing filter processing, and a subtraction processing in this order with respect to an image (A) indicating a likelihood of a region obtained from a color space composed of the brightness component and the color information component to extract a second image (E), wherein the second extracting means are used to perform the second morphology processing, when acquiring a shape of regions having high pixel values from the image (A) indicating the likelihood region, and the image obtained as a result of the second morphology processing is extracted as a likelihood image (E) of a region. a processing unit configured to process the captured image as an original image, characterized in that the processing unit comprises: a separating unit configured to separate the captured image into a brightness component and a color information component; first extracting means (101b-1); and second extracting means (101b-2); wherein a separating unit configured to separate the captured image into a brightness component and a color information component; first extracting means (101b-1); and second extracting means (101b-2); wherein the first extracting means (101b-1) are adapted to perform a first morphology processing which performs a bottom hat processing, wherein the bottom hat processing includes a dilation, an erosion, a smoothing filter processing and a subtraction processing in this order with respect to an image (L) representing the brightness component, to generate a first image (BH), wherein the first extracting means (101b-1) are used to perform the first morphology processing when acquiring a shape of regions having low pixel values from the image (L) representing the brightness component; and the image obtained as a result of the first morphology processing is extracted as a candidate region (BH); and the second extracting means (101b-2) are adapted to perform a second morphology processing which performs a top hat processing, wherein the top hat processing includes an erosion, a dilation, a smoothing filter processing, and a subtraction processing in this order with respect to an image (A) indicating a likelihood of a region obtained from a color space composed of the brightness component and the color information component to extract a second image (E), wherein the second extracting means are used to perform the second morphology processing, when acquiring a shape of regions having high pixel values from the image (A) indicating the likelihood region, and the image obtained as a result of the second morphology processing is extracted as a likelihood image (E) of a region. <EOS>